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1.

電子ブック

EB
edited by Matthias Dehmer
出版情報: Boston : Springer Science+Business Media, LLC, 2011
オンライン: http://dx.doi.org/10.1007/978-0-8176-4789-6
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by Shravan Vasishth, Michael Broe
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-16313-5
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3.

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by Mark Chang
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics for Biology and Health ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-9842-2
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電子ブック

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by Robert A. Muenchen
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics and Computing ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-0685-3
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5.

電子ブック

EB
edited by Panos M. Pardalos, Petros Xanthopoulos, Michalis Zervakis
出版情報: Boston, MA : Springer US, 2012
シリーズ名: Springer Optimization and Its Applications ; 65
オンライン: http://dx.doi.org/10.1007/978-1-4614-2107-8
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6.

電子ブック

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by Alfred Inselberg
出版情報: New York, NY : Springer-Verlag New York, 2009
オンライン: http://dx.doi.org/10.1007/978-0-387-68628-8
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7.

電子ブック

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by James E. Gentle
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Statistics and Computing ;
オンライン: http://dx.doi.org/10.1007/978-0-387-98144-4
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8.

電子ブック

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by Eric D. Kolaczyk
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-88146-1
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9.

電子ブック

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by Peter D. Hoff
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-92407-6
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10.

電子ブック

EB
by Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-98135-2
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11.

電子ブック

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by James Ramsay, Giles Hooker, Spencer Graves
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Use R ;
オンライン: http://dx.doi.org/10.1007/978-0-387-98185-7
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12.

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by Bob München
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Statistics and Computing ;
オンライン: http://dx.doi.org/10.1007/978-0-387-09418-2
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13.

電子ブック

EB
edited by Wolfgang Gaul, Hans-Hermann Bock, Tadashi Imaizumi, Akinori Okada
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2009
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-00668-5
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14.

電子ブック

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by Jerome Friedman, Robert Tibshirani, Trevor Hastie
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/b94608
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15.

電子ブック

EB
edited by Pietro Mantovan, Piercesare Secchi
出版情報: Milano : Springer-Verlag Milan, 2010
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-88-470-1386-5
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16.

電子ブック

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edited by Panos M. Pardalos, Thomas F. Coleman, Petros Xanthopoulos
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: Fields Institute Communications ; 63
オンライン: http://dx.doi.org/10.1007/978-1-4614-4133-5
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Preface
Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas)
Clustering Time Series Data with Distance Matrices (O. Şeref, W.A. Chaovalitwongse)
Mathematical Models of Supervised Learning and Application to Medical Diagnosis (R. De Asmundis, M.R. Guarracino)
Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease (E.K. Lee, T.-L. Wu, F. Goldstein, A. Levey)
Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random (B. Chen, R.J. Cook)
Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis (I.A. Kakadiaris, E.G.M. Ruiz)
An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data (G. Gazzola, C.-A. Chou, M.K. Jeong, W.A. Chaovalitwongse)
Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System (F. Panetsos, A. Sanchez-Jimenez, C. Herrera-Rincon)
EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism (V. Sakkalis, K. Marias)
Maximal Connectivity and Constraints in the Human Brain (R.V. Belavkin)
Preface
Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas)
Clustering Time Series Data with Distance Matrices (O. Şeref, W.A. Chaovalitwongse)
17.

電子ブック

EB
by Zeshui Xu
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012
オンライン: http://dx.doi.org/10.1007/978-3-642-29440-2
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Linguistic Evaluation Scales
Linguistic Aggregation Operators
Linguistic Preference Relations
Approaches to Linguistic Multi-Attribute Decision Making
Linguistic Evaluation Scales
Linguistic Aggregation Operators
Linguistic Preference Relations
18.

電子ブック

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by Petros Xanthopoulos, Panos M. Pardalos, Theodore B. Trafalis
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Optimization ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-9878-1
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1. Introduction
2. Least Squares Problems
3. Principal Component Analysis
4. Linear Discriminant Analysis
5. Support Vector Machines
6. Conclusion
1. Introduction
2. Least Squares Problems
3. Principal Component Analysis
19.

電子ブック

EB
edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-28894-4
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目次情報:
Classification and Data Analysis
Data Mining
Applications
Classification and Data Analysis
Data Mining
Applications
20.

電子ブック

EB
edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
出版情報: Heidelberg : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00032-9
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From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
Data stream summarization by histograms clustering
Web panel representativeness
Nonparametric inference via permutation tests for CUB models
Asymmetric multidimensional scaling models for seriations
An approach to ranking the hedge funds industry
Correction of incoherences in statistical matching
The analysis of network additionality in the context of territorial innovation policy
Clustering and registration of multidimensional functional data
Classifying tourism destinations
On two classes of weighted rank correlation measures deriving from teh Spearman's r
Beanplot data analysis in a temporal framework
Supervised classification of facial expressions
Grouping around different dimensional affine subspaces
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
A new fuzzy method to classify professional profiles from job announcements
A metric based approach for the Least Square Regression of multivariate model symbolic data
A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data
And further articles.
From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
21.

電子ブック

EB
edited by Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00035-0
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Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
22.

電子ブック

EB
edited by Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-01595-8
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AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
AREA Data Analysis and Classification in Marketing
AREA Data Analysis in Finance
AREA Data Analysis in Biostatistics and Bioinformatics
AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology
LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science
AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
AREA Data Analysis and Classification in Marketing
23.

電子ブック

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by Mayer Alvo, Philip L.H. Yu
出版情報: New York, NY : Springer New York : Imprint: Springer, 2014
シリーズ名: Frontiers in Probability and the Statistical Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4939-1471-5
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Introduction
Exploratory Analysis of Ranking Data
Correlation Analysis of Paired Ranking Data
Testing for randomness, agreement and interaction
Block Designs
General Theory of Hypothesis Testing
Testing for Ordered Alternatives
Probability Models for Ranking Data
Probit Models for Ranking Data
Decision Tree Models for Ranking Data
Extension of Distance-Based Models for Ranking Data
Appendix A: Ranking Data Sets
Appendix B: Limit Theorems
Appendix C: Review on Decision Trees
Introduction
Exploratory Analysis of Ranking Data
Correlation Analysis of Paired Ranking Data
24.

電子ブック

EB
edited by Valery A. Kalyagin, Panos M. Pardalos, Themistocles M. Rassias
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Springer Optimization and Its Applications ; 100
オンライン: http://dx.doi.org/10.1007/978-3-319-09683-4
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Experimental design problems and Nash equilibrium solutions
A Variational Approach to the Evolutionary Financial Equilibrium Problem with Memory Terms and Adaptive Constraints
Robustness of sign correlation in market network analysis
Two Classes of Games on Polyhedral Sets in Systems Economic Studies
Densely Entangled Financial Systems
Sigmoid Data Fitting by Least Squares Adjustment of Second and Third Divided Differences
Financial Modeling under Multiple Criteria
Agent-based Models of Stock Exchange: Analysis via Computational Simulation
Network Centrality and Key Economic Indicators: A Case Study
Network structures uncertainty for different markets
Complexity Analysis and Systemic Risk in Finance: Some Methodological Issues
A Dynamic Network Economic Model of a Service-Oriented Internet with Price and Quality Competition
European Business Cycle Synchronization: A Complex Network Perspective
A Novel Banking Supervision Method using the Minimum Dominating Set
Experimental design problems and Nash equilibrium solutions
A Variational Approach to the Evolutionary Financial Equilibrium Problem with Memory Terms and Adaptive Constraints
Robustness of sign correlation in market network analysis
25.

電子ブック

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by Wolfgang Karl Härdle, Zdeněk Hlávka
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-3-642-36005-3
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Part I Descriptive Techniques:  Comparison of Batches
Part II Multivariate Random Variables:  A Short Excursion into Matrix Algebra
Moving to Higher
Multivariate
Theory of the Multinormal
 Theory of Estimation
Part III Multivariate Techniques: Regression Models
Variable Selection
Decomposition of Data Matrices by Factors
Principal Component Analysis
Factor Analysis
Cluster Analysis
Discriminant Analysis
Correspondence Analysis
Canonical Correlation Analysis
Multidimensional Scaling
Conjoint Measurement Analysis
Applications in Finance
Highly Interactive, Computationally Intensive Techniques
Data Sets
References
Index
Part I Descriptive Techniques:  Comparison of Batches
Part II Multivariate Random Variables:  A Short Excursion into Matrix Algebra
Moving to Higher
26.

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EB
edited by Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-662-44983-7
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Part I Invited Papers: Modernising Official Statistics - A Complex Challenge
A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity
Finding the Number of Disparate Clusters with Background Contamination
Clustering of Solar Irradiance
Part II Data Science and Clustering: Factor Analysis of Local Formalism
Recent progress in Complex Network Analysis – Models
Recent Progress in Complex Network Analysis – Results
Similarity Measures of Concept Lattices
Flow-Based Dissimilarities: Shortest Path, Commute Time, Max-Flow and Free Energy
Resampling Techniques in Cluster Analysis – Is Subsampling Better Than Bootstrapping?
On-Line Clustering of Functional Boxplots for Monitoring Multiple Streaming Time Series
Smooth Tests of Fit for Gaussian Mixtures
Part III Machine Learning and Knowledge Discovery: P2P RVM for Distributed Classification
Selecting a Multi-Label Classification Method for an Interactive System
Visual Analysis of Topics in Twitter Based on Co-Evolution of Terms
Incremental Weighted Naive Bayes Classifiers for Data Stream
SVM Ensembles are Better When Different Kernel Types are Combined
Part IV Data Analysis in Marketing: Ratings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices
A Statistical Software Package for Image Data Analysis in Marketing
The Bass Model as Integrative Diffusion Model - A Comparison of Parameter Influences
Preference Measurement in Complex Product Development – A Comparison of Two-Staged SEM Approaches
Combination of Distances and Image Features for Clustering Image Data Bases
A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions
Key Success-Determinants of Crowdfunded Projects – An Exploratory Analysis
Preferences Interdependence among Family Members – Case III/APIM Approach
Part V Data Analysis in Biostatistics and Bioinformatics: Evaluation for Cell Line Suitability for Disease Specific Perturbation Experiments
Effect of Hundreds Sequenced Genomes on the Classification of Human Papilloma Viruses
Donor Limited Hot Deck Imputation – A Constrained Optimization Problem
Classification and Data Set Analysis Using Ensembles of Representative Prototype Sets
Event Prediction in Pharyngeal High-Resolution Manometry
Edge Selection in a Noisy Graph by Concept Analysis – Application to a Genomic Network
Part VI Data Analysis in Education and Psychology: Linear Modelling of Differences in Teacher Judgment Formation of School Tracking Recommendations
Psychometric Challenges in Modeling Scientific Problem-Solving Competency – An Item Response Theory Approach
The Luxembourg Teacher Databank 1845-1939. Academic Research into the Social History of the Luxembourg Primary School Teaching Staff
Part VII Data Analysis in Musicology: Correspondence Analysis, Cross-Autocorrelation and Clustering in Polyphonic Music
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition
Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features
Part VIII Data Analysis in Communication and Technology: What is in a Like? Preference Aggregation on the Social Web
Predicting Micro-Level Behavior in Online Communities for Risk Management
Human Performance Profiling While Driving a Sidestick-Controlled Car
Multivariate Landing Page Optimization Using Hierarchical Bayes CBC Analysis
Hellinger Distance Based Feature Construction with Applications to the FACT Experiment
Part IX Data Analysis in Administration and Spatial Planning: Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis
Application of Hedonic Methods in Modelling Real Estate Prices in Poland
Smart Growth Path as the Basis for the European Union Countries Typology
The Influence of Upper Level NUTS on Lower Level Classification of EU Regions
Part X Data Analysis in Library Science: Multilingual Subject Retrieval – Bibliotheca Alexandrina’s Subject Authority File and Linked Subject Data
The VuFind Based "MT-Katalog" – A Customized Music Library Service at the University of Music and Drama Leipzig
Part I Invited Papers: Modernising Official Statistics - A Complex Challenge
A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity
Finding the Number of Disparate Clusters with Background Contamination
27.

電子ブック

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by Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-09426-7
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What do we know about analyzing movie data: section on past literature
What does "Big Data" mean; the data scientist point of view
Visualization of very large networks: the co-starring social network
Movie attendance and trends
Oscar prediction and prediction markets
Can we predict Oscars from Twitter and movie review data
What do we know about analyzing movie data: section on past literature
What does "Big Data" mean; the data scientist point of view
Visualization of very large networks: the co-starring social network
28.

電子ブック

EB
edited by Reinhold Decker, Hans -J. Lenz
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2007
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-540-70981-7
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29.

電子ブック

EB
edited by Wolfgang Härdle, Zdenek Hlávka
出版情報: New York : Springer Science+Business Media, LLC, 2007
オンライン: http://dx.doi.org/10.1007/978-0-387-73508-5
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30.

電子ブック

EB
edited by Paula Brito, Guy Cucumel, Patrice Bertrand, Francisco Carvalho
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2007
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-540-73560-1
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31.

電子ブック

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edited by G. P. Nason
出版情報: New York, NY : Springer-Verlag New York, 2008
シリーズ名: Use R! ;
オンライン: http://dx.doi.org/10.1007/978-0-387-75961-6
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32.

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by Alan Izenman
出版情報: New York, NY : Springer-Verlag New York, 2008
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-78189-1
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33.

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by Uffe B. Kjærulff, Anders L. Madsen
出版情報: New York, NY : Springer Science+Business Media, LLC, 2008
シリーズ名: Information Science and Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-74101-7
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34.

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edited by Hermann Locarek-Junge, Claus Weihs
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-10745-0
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edited by Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-52680-1
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目次情報: 続きを見る
PART - 1 :Techniques, Methods and Models
Chapter 1 - Text Analytics: present, past, and future (Domenica Fioredistella Iezzi, Livia Celardo)
Chapter 2 - Unsupervised analytic strategies to explore large document collections (Michelangelo Misuraca and Maria Spano)
Chapter 3 - Studying narrative flows by Text Analysis e Network Text Analysis (Cristiano Felaco)
Chapter 4 - Key passages : from statistics to deep learning (Laurent Vanni, Marco Corneli, Dominique Longree, Damon Mayaffre and Frederic Precioso)
Chapter 5 - Concentration indices for dialogue dominance phenomena in TV series: the case of the Big Bang Theory (Andrea Fronzetti Colladon and Maurizio Naldi).-Chapter 6 - A conversation analysis of interactions in personal finance forums (Maurizio Naldi)
PART - 2 :Dictionaries and specific languages
Chapter 7 - Big Corpora and Text Clustering: the Italian accounting jurisdiction case (Domenica Fioredistella Iezzi, Rosamaria Berté)
Chapter 8 - Lexicometric paradoxes of frequency: Comparing VoBIS and NVdB (Luisa Revelli)
Chapter 9 - Emotions and dense words in emotional text analysis: An invariant or a contextual relationship? (Nadia Battisti, Francesca Dolcetti).-Chapter 10 – Text Mining of Public Administration documents: preliminary results on judgements (Romano Maria Francesca, Baldassarini Antonella, Pavone Pasquale)
Chapter 11 - Using the First Axis of a Correspondence Analysis as an Analytic Tool (Bénédicte Pincemin, Alexei Lavrentiev and Céline Guillot-Barbance)
Chapter 12 - Discursive Functions of French Modal Forms: What can Correspondence Analysis tell us about Genre and Diachronic Variation? (Corinne Rossari, Ljiljana Dolamic, Annalena Hütsch, Claudia Ricci, Dennis Wandel)
PART - 3 :Multilingual Text Analysis
Chapter 13 - How to think about finding a sign for a multilingual and multimodal French written French sign language platform? (Cédric Moreau)
Chapter 14 - Corpus in “natural” language vs “translation” language: LBC corpora, a tool for bilingual lexicographic writing (Annick Farina, Riccardo Billero)
Chapter 15 - The conditional perfect, a quantitative analysis in English-French comparable-parallel corpora (Daniel Henkel)
Chapter 16 - Repeated and anaphoric segments applied to trilingual knowledge extraction (Lionel Shen)
Chapter 17 - Looking for topics: a brief review (Ludovic Lebart)
PART - 4 :Applications
Chapter 18 - Where are the Social Sciences going to? The Case of the EU-Funded SSH Research Projects (Matteo Gerli)
Chapter 19 - Topic modeling of Twitter conversations: the case of the National University of Colombia (Eliana Sanandres)
Chapter 20 - Analysing occupational safety culture through mass media monitoring (Livia Celardo, Rita Vallerotonda, Daniele De Santis, Claudio Scarici, Antonio Leva)
Chapter 21 – What volunteers do? A textual analysis of voluntary activities in the Italian context (Francesco Santelli, Giancarlo Ragozini, Marco Musella)
Chapter 22 - Free text analysis in electronic clinical documentation (Antonella Bitetto, Luigi Bollani)
Chapter 23 - Educational culture and job market: A text mining approach (Barbara Cordella, Francesca Greco, Paolo Meoli, Vittorio Palermo & Massimo Grasso)
PART - 1 :Techniques, Methods and Models
Chapter 1 - Text Analytics: present, past, and future (Domenica Fioredistella Iezzi, Livia Celardo)
Chapter 2 - Unsupervised analytic strategies to explore large document collections (Michelangelo Misuraca and Maria Spano)
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edited by Yichuan Zhao, Ding-Geng (Din) Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-33416-1
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Preface
Part I: Next Generation Sequence Data Analysis
1. Modeling Species Specific Gene Expression Across Multiple Regions in the Brain
2. Classification of EEG Motion Artifact Signals Using Spatial ICA
3. Weighted K-means Clustering with Observation Weight for Single-cell Epigenomic Data
4. Discrete Multiple Testing in Detecting Differential Methylation Using Sequencing Data
Part II: Deep Learning, Precision Medicine and Applications
5. Prediction of Functional Markers of Mass Cytometry Data via Deep Learning
6. Building Health Application Recommender System Using Partially Penalized Regression
7. Hierarchical Continuous Time Hidden Markov Model, with Application in Zero-Inflated Accelerometer Data
Part III: Large Scale Data Analysis and its Applications
8. Privacy Preserving Feature Selection Via Voted Wrapper Method For Horizontally Distributed Medical Data
9. Improving Maize Trait through Modifying Combination of Genes
10. Molecular Basis of Food Classification in Traditional Chinese Medicine
11. Discovery Among Binary Biomarkers in Heterogeneous Populations
Part IV: Biomedical Research and the Modelling
12. Heat Kernel Smoothing on Manifolds and Its Application to Hyoid Bone Growth Modeling
13. Optimal Projections in the Distance-Based Statistical Methods
14. Kernel Tests for One, Two, and K-Sample Goodness-Of-Fit: State of the Art and Implementation Considerations
15. Hierarchical Modeling of the Effect of Pre-exposure Prophylaxis on HIV in the US
16. Mathematical Model of Mouse Ventricular Myocytes Overexpressing Adenylyl Cyclase Type 5
Part V: Survival Analysis with Complex Data Structure and its Applications
17. Non-Parametric Maximum Likelihood Estimator for Case-Cohort and Nested Case-Control Designs with Competing Risks Data
Authors: Jie-Huei Wang, Chun-Hao Pan, Yi-Hau Chen and I-Shou Chang
18. Variable Selection in Partially Linear Proportional Hazards Model with Grouped Covariates and a Diverging Number of Parameters
19. Inference of Transition Probabilities in Multi-state Models using Adaptive Inverse Probability Censoring Weighting Technique
Preface
Part I: Next Generation Sequence Data Analysis
1. Modeling Species Specific Gene Expression Across Multiple Regions in the Brain
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by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Use R! ;
オンライン: https://doi.org/10.1007/978-3-030-48997-7
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Preface
1 Introduction
2 Introduction to R
3 Databases in R
4 Visualization
5 Data Analysis with R
R Packages and Funtions
Preface
1 Introduction
2 Introduction to R
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by Ray W. Cooksey
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-2537-7
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Introduction
Chapter 1: The logic and language of statistical analysis Reference
Chapter 2: Measurement issues in quantitative research
Chapter 3: Computer programs for analysing quantitative data
Chapter 4: Example research context aand quantitative data set
Chapter 5: Descriptive statistics for summarising data
Chapter 6: Correlational statistics for characterising relationships
Chapter 7: Inferential statistics for hypothesis testing relationships
Chapter 8: Other commonly-used statistical procedures relationships
Chapter 9: Specialised statistical procedures
Appendices
Index
Introduction
Chapter 1: The logic and language of statistical analysis Reference
Chapter 2: Measurement issues in quantitative research
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edited by Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 337
オンライン: https://doi.org/10.1007/978-3-030-56920-4
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Selecting Distribution Centers in Disaster Management by Network Analysis and Composition of Probabilistic Preferences (Gavião et al.)
Development of Indicators for Monitoring the Regulatory Compliance of Static Equipment in Industrial Plants: An Empirical Study in the Oil and Gas Sector(Caiado et al.)
Navy Worship Selection and Multicriteria Analysis: The THOR Method Supporting Decision Making (Tenório et al.)
Pricing Scenarios of Sustainable Product-Service Syste: A Post-harvest by Brazilian Farmers View (Lermen et al.)
Supplier in the Supply Chain: A Bibliometric Analysis (Krainer et al.)
Life Cycle Assessment (LCA) Photovoltaic Solar Energy: A Bibliometric Literature Review (Teixeira)
Analysing Plastic Cups Use: A Psychological Approach (D´ Agostin et al.)
Barriers to the Diffusion of Renewable Energies: Literature Review (Zamparetti et al.)
Organizational Performances of Distributed Generation in Brazil Electric Utilities: A Balanced Scorecard Perspective (B. Rosa et al.)
EPQ Model with Partial Backordering Considering Environmental Aspects and Stochastic Demand (Silva et al.)
Sustainability in Logistics Systems and its Impact on the Level of Service Definition: An Exploratory Analysis using Structural Equation Modeling (Martins et al.)
Supply Chain Management Practices in Small Enterprises: A Practical Implementation Guidance (Matos et al.)
Information and Data Quality States Model to Support Process-aware Information Systems (Junior et al.)
Identifying Patient Demand New Patterns in Emergency Departments a Multiple Case Study: A Forecasting Approach (Assad et al.)
Visual Management in Healthcare: A Systematic Literature Review of Main Practices and Applications (Zani et al.)
Systematic Review on the Use of Eggshell: Reflections about Circular Economy (Bonato et al.)
The Importance of Measurement Uncertainty Analysis on Statistical Quality Control (Couto et al.)
Evaluation Model for Sustainable Supply Chain Management in the Food Industry (Trojan et al.)
Logistics Regression Model for Predicting Cost Performance According to Benefits Management Effort in New Product Development Projects (da Silva et al.)
Extraction of Soluble Solids of Soursop (Annona Muricata) and Marolo (Annona Crassiflora Mart.) Seeds Using Different Solvents and Processes (Menezes et al.)
Framework Proposal to Organize Sustainability Strategies Towards a Transition to the Circular Economy (Bacovis et al.)
Application of Data Reconciliation in a Water Balance as a Tool for Reducing Water Use at a Public University in Brazil (Costa et al.)
Disaster Response Assessment: The Case of the Civil Defense of the State of Rio de Janeiro, Brazil (Pereira et al.)
Lean Demand Management: Application in a National Health Department (Souza et al.)
Simultaneous Data Reconciliation and Parameter Estimation Applied to a Heat Exchange Process (Kalid et al.)
Analysis of Greenhouse Gases and Atmospheric Pollutants Emissions By Helicopters in the Oil and Gas Industry (Mendes et al.)
Study of the Use of Data Mining in Modeling Non-Standard Processing in a Higher Education Institution (Maia et al.)
Process Mining Classification with a Weightless Neural Network (Barbastefano et al.)
Quantitative Approaches for Identification of Indicators and their Relationships in Performance Measurement Systems: A Literature Review (da Silva Ramos et al.)
Use of DMAIC and Lean Six Sigma to Reduce Body Defects in an Automotive Factory (de Siqueira)
PROMETHEE-SAPEVO-M1 a Hybrid Modeling Proposal: Multicriteria Evaluation of Drones for Use in Naval Warfare (Moreira et al.)
Application of Statistical Process Control in Painting Office Supplies (da Silva Fernandes et al.)
The Influence of Economic Context on the Relationship Between Manufacturing Strategy, Practices and Performance (Gambi et al.)
A System Thinking Approach for Social and Environmental Risk in Supply Chains (de Oliveira et al.)
A Comparative Study of the Influence of Organizational Culture on Performance (Gambi et al.)
Work Ability Index (WAI) and Quality of Life at Work (QLW) in the Context of Occupational Accidents: A Survey with Construction Workers (Galati et al.)
Purchase System for People with Reduced Mobility: Promoting Equity Idealized by Society 5.0 (Garcez et al.)
Application of the Proknow-C Methodology in the Search for Literature about Energy Management Audit based on International Standards (Vieira et al.)
Stakeholders Assessment for Risk Management into the Wind Power Supply Chain (Troche-Escobar et al.)
Working in the 4.0 Era: An Ontology for Competence Management in the Fourth Industrial Revolution (Francisco et al.)
Autonomous Inventory and Capacity Management in an Omnichannel Retailing Scenario: A Review (Linhares et al.)
Measuring the Effectiveness of a Scrum Training Session using Psychological States of Flow (Nagai et al.)
Pedestrian Evacuation Plan on Fire Situations at a University (Enami et al.)
Economic Production Quantity Model Considering Items with Distinct Levels of Imperfection (Miranda et al.)
Food Security: Location of Assistance Entities in Poverty Zones (Assumpção et al.)
Emotions and the Purchase Decision Processes of Green Products: An Exploratory Study with Consumption Emotions Set Scale (CES) (Kolling et al.)
Prioritization of Critical Factors for the Improvement in the Visual Daily Shop Floor Management in Manufacturing using AHP – A Case Study Pereira et al.)
Economic Production Quantity for Products with Deterioration and Shortage Under Advanced-Cash-Credit Payment Scheme (Londe et al.)
Sustainable by Accident: An Analysis of the Development of the Brazilian Electricity Sector (Botelho et al.)
Success Critical Factors on the Civil Construction Projects Management, Utilizing Artificial Neural Networks (Erpen et al.)
Production Planning and Control in Industry 4.0: Maintenance of Breakdown of the Principles and Fundamentals (Pissardini et al.)
Lean Office in the Monitoring of Public Building Works (Dal´Bosco et al.)
Selecting Distribution Centers in Disaster Management by Network Analysis and Composition of Probabilistic Preferences (Gavião et al.)
Development of Indicators for Monitoring the Regulatory Compliance of Static Equipment in Industrial Plants: An Empirical Study in the Oil and Gas Sector(Caiado et al.)
Navy Worship Selection and Multicriteria Analysis: The THOR Method Supporting Decision Making (Tenório et al.)
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edited by Azizur Rahman
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-1735-8
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Part I. Applied Statistics and Bayesian Modeling
1. Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domain
2. Computing Robust Statistics via an EM Algorithm
3. Determining Risk Factors of Antenatal Care Attendance and its Frequency in Bangladesh: An Application of Count Regression Analysis
4. On Propensity Score Methodology
5. Asking Good Questions to Understand Voluntary Enrolments in Mathematics
PART II. Agricultural Statistics and Policy Analysis
6. Modeling for Prospect of Aman Rice Production in Dhaka Division, Bangladesh
7. Impacts and Determinants of Adoption in River-based Tilapia Cage Culture
8. Policy into Practice; Statistics the Forgotten Gatekeeper
9. Nutrient Loading in the River Systems around Major Cities in Bangladesh: a Quantitative Estimate with Consequences and Potential Recycling Options
10. Analysing Informal Milk Supply Chains Data to Identify Seasonal Occurrences of Antibiotic Residues
Part III. Data Science and Image Processing Statistics
11. Detection of Vegetation in Enviromental Repeat Photography: A New Algorithmic Approach in Data Science
12. Can Data Fusion increase the Performance of Action Detection in the Dark?
13. Data privacy and Security in the Cloud
14. Evaluating Faster-RCNN and YOLOv3 for Target Detection in Multi-sensor Data
15. Wavelet-based Quantile Density Function Estimation under Random Censorship
Part IV. Health Statistics and Social Policy
16. Factors Associated with Coronary Heart Disease among Elderly People in Different Communities
17. Finite Mixture Modelling Approach to Identify Factors Affecting Children ever Born for 15-49 Year Old Women in Asian Country
18. An Assessment of Influencing Factors for Motherhood During Childhood in Bangladesh Using Factor Analysis and Logistic Regression Methods
19. Effect of Women’s Education on Skilled Birth Attendants in South and South East Asia: A Cross-country assessment on Sustainable Development Goal 3.1
Part V. SMALL Area Estimation and Spatial Microsimulation
20. Estimation of Child Undernutrition at Disaggregated Administrative Tiers of a North-Eastern District of Bangladesh: An Application of Small Area Estimation Method
21. Using a Spatial Farm Microsimulation Model for Australia to Estimate the Impact of an External Shock on Farmer Incomes
Part VI. Business Analytics and Managements Policy Analysis
22. A tax benefit model for policy evaluation in Luxembourg: LuxTaxBen
23. Finding Significant Determinants and Impacts of Farm-Level Integrated Pest Management Practices Using Statistical Tools
24. Consumers Adoption Behavior Prediction through Technology Acceptance Model and Machine Learning Models
25. Shaping the Future of Multidimensional Project Management in Re-Tail Industry Using Statistical and Big-Data Theories
26. Technical Efficiency and Value Chain Analysis of Potato in a South-East Asian Country
27. Modelling and Analysis of Computer Experiments using a Simple Pendulum Model
Part I. Applied Statistics and Bayesian Modeling
1. Applied Bayesian Modeling for Assessment of Interpretation Uncertainty in Spatial Domain
2. Computing Robust Statistics via an EM Algorithm
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edited by Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Information Systems and Applications, incl. Internet/Web, and HCI ; 12112
オンライン: https://doi.org/10.1007/978-3-030-59410-7
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Advanced database and web applications.-Big data
Data mining
Machine learning for database
Data warehouse and OLAP
Information retrieval
Data model and query language
Query processing
Optimization
Recommendation systems
Data quality and credibility
Multimedia databases
Temporal and spatial databases
Data streams and time-series data
Semantic web and knowledge management
Graph data management
Social network analytics
Bio and health informatics
Blockchain and parallel/distributed systems
Security
Privacy and Trust
Databases for emerging hardware
Advanced database and web applications.-Big data
Data mining
Machine learning for database
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edited by Jianqing Fan, Jianxin Pan
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-46161-4
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Part I Review of Kai-Tai Fang’s Contribution
1 Walking on the Road to the Statistical Pyramid
2 The contribution to experimental designs by Kai-Tai Fang
3 From “Clothing Standard” to “Chemometrics”
4 A Review of Professor Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China
Part II Design of Experiments
5 Is a Transformed Low Discrepancy Design Also Low Discrepancy?
6 The construction of optimal design for order-of-addition experiment via threshold accepting
7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation
8 Drug Combination Studies, Uniform Experimental Design and Extensions
9 Modified robust design criteria for Poisson mixed models
10 Study of Central Composite Design and Orthogonal Array Composite Design
11 Uniform design on manifold
Part III Multivariate Analysis
12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison
13 Estimating the Location Vector for Spherically Symmetric Distributions
14 On equidistant designs, symmetries and their violations in multivariate models
15 Estimation of covariance matrix with ARMA structure through quadratic loss function
Part IV Data Mining
16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method
17 Bayesian Mixture Models with Weight-Dependent Component Priors
18 Cosine Similarity-Based Classifiers for Functional Data
Part V Hypothesis Test and Statistical Models
19 Projection Test with Sparse Optimal Direction for High-dimensional One Sample Mean Problem
20 Goodness-of-fit tests for correlated bilateral data from multiple groups
21 A Bilinear Reduced Rank Model
22 Simultaneous multiple change points estimation in generalized linear models
23 Data-Based Priors for Bayesian Model Averaging
24 Quantile regression with Gaussian kernels
Part I Review of Kai-Tai Fang’s Contribution
1 Walking on the Road to the Statistical Pyramid
2 The contribution to experimental designs by Kai-Tai Fang
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edited by Krzysztof Jajuga, Jacek Batóg, Marek Walesiak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-52348-0
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Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
Silhouette index as clustering evaluation tool
The Role of Discretization of Continuous Variables in SocioEconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks
Intuitionistic fuzzy synthetic measure for ordinal data
Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction
Applications in Finance
Inequality restricted least squares (IRLS) model of real estate prices
Application of Hill estimator to assess extreme risks in the metals market
Segmentation of Enterprises on the Basis of Their Duration Using Survival Trees. Results of an Analysis for Legal Persons and Organizational Entities without Legal Personality in the Łódzkie Voivodship
Corporate Bankruptcy Prediction with the Use of the Logit Leaf Model
The impact of longevity on a valuation of long-term investments returns: the case of selected European countries
Applications in Economics.-Sustainable Development and Green Economy in the European Union Countries – statistical analysis
The review of indicators of data quality in intra-Community trade in goods. The choice of an indicator and its effect on the ranking of countries
Development of ICT in Poland in Comparison with the European Union Countries – Multivariate Statistical Analysis
Sensitivity Analysis in Causal Mediation Effects for TAM Model
Applications in Social Problems
Prentice-Williams-Peterson models in the assessment of the influence of the characteristics of the unemployed on the intensity of subsequent registrations in the labour office
Right-skewed distribution of features and the identification problem of the financial autonomy of local administrative units
Multi-Criteria Rankings with Interdependent Criteria: Case of EU Countries on Their Way to Healthy Lives and Well-Being
The comparison of income distributions for women and men in the European Union countries
Common stochastic mortality trends for multiple European populations
Impact of the selected factors on the men and women wages in Poland in 2014. The conjoint analysis application
Preface
Methods
Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange
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edited by Nima Dokoohaki
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Lecture Notes in Social Networks ;
オンライン: https://doi.org/10.1007/978-3-030-55218-3
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Part 1. Cold Start in Recommendations
Chapter 1. Fashion Recommender Systems in Cold Start ( Mehdi Elahi)
Part 2. Complementary and Session Based Recommendation
Chapter 2. Enabling Hyper-Personalisation: Automated AdCreative Generation and Ranking for Fashion e-Commerce (Sreekanth Vempati)
Chapter 3. Two-Stage Session-based Recommendations with Candidate Rank Embeddings (Jose Antonio Sanchez Rodrguez)
Part 3. Outfit Recommendations
Chapter 4. Attention-based Fusion for Outfit Recommendation (Katrien Laenen)
Chapter 5. Outfit2Vec: Incorporating Clothing Hierarchical MetaData into Outfits’ Recommendation (Shatha Jaradat)
Part 4. Sizing and Fit Recommendations
Chapter 6. Learning Size and Fit from Fashion Images (Nour Karessli)
Part 5. Generative Outfit Recommendation
Chapter 7. Generating High-Resolution Fashion Model Images Wearing Custom Outfits (Gokhan Yildirim)
Part 1. Cold Start in Recommendations
Chapter 1. Fashion Recommender Systems in Cold Start ( Mehdi Elahi)
Part 2. Complementary and Session Based Recommendation
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edited by Aleksandra Przegalinska, Francesca Grippa, Peter A. Gloor
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Complexity ;
オンライン: https://doi.org/10.1007/978-3-030-48993-9
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“No Pain No Gain”: Predicting Creativity Through Body Signals
Using Body Signals and Facial Expressions to Study the Norms that Drive Creative Collaboration
Measuring Audience and Actor Emotions at a Theater Play through Automatic Emotion Recognition from Face, Speech, and Body Sensors
Measuring Moral Values with Smartwatch-based Body Sensors
Measuring Workload and Performance of Surgeons Using Body Sensors of Smartwatches
Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub
Heart Beats Brain - Measuring Moral Beliefs through E-Mail Analysis
Identifying Virtual Tribes by their Language in Enterprise Email Archives
Digital Coworker. Human-AI Collaboration in Work Environment, on the Example of Virtual Assistants for Management Professions
Collaborative Innovation Network in Robotics
A structured Approach to GDPR Compliance
An Ecosystem for Collaborative Pattern Language Acquisition
“No Pain No Gain”: Predicting Creativity Through Body Signals
Using Body Signals and Facial Expressions to Study the Norms that Drive Creative Collaboration
Measuring Audience and Actor Emotions at a Theater Play through Automatic Emotion Recognition from Face, Speech, and Body Sensors
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edited by Andriëtte Bekker, (Din) Ding-Geng Chen, Johannes T. Ferreira
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Emerging Topics in Statistics and Biostatistics ;
オンライン: https://doi.org/10.1007/978-3-030-42196-0
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1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
4. Spatial Interpolation Of Extreme PM1 Values Using Copulas - by Alfred Stein, Fakhereh Alidoost and Vera van Zoest (University of Twente, The Netherlands)
5. Distributional Aspects Of The Condition Number From A Unified Complex Wishart Setting - by Johannes Ferreira and Andriëtte Bekker (University of Pretoria, South Africa)
6. Weighted Bivariate Pólya-Aeppli Type Ii Distributions - by Claire Geldenhuys and René Ehlers (University of Pretoria, South Africa)
7. On The Distribution Of Linear Combinations Of Chi-Square Random Variables - by Carlos A. Coelho (Universidade Nova de Lisboa, Portugal)
8. Constructing Multivariate Distributions Using The Dirichlet As A Baseline - by Seite Makgai (University of Pretoria, South Africa), Mohammad Arashi (Shahrood University of Technology, Iran), Daan de Waal (University of the Free State), and Andriëtte Bekker (University of Pretoria, South Africa)
9. Evaluating Risk Measures Using The Normal Mean-Variance Birnbaum-Saunders Distribution - by Mehrdad Naderi (University of Pretoria, South Africa), Ahad Jamalizadeh (Shahid Bahonar University, Iran), Wan-Lun Wang (Feng Chia University, Taiwan), Tsung-I Lin (National Chung Hsing University, Taiwan)
10. On High-Dimensional Multivariate Bayesian Geostatistics - by Sudipto Banerjee (University of California, USA)
11. On Improving The Performance Of Logistic Regression Analysis Via Extreme Ranking - by Hani M. Samawi (Georgia Southern University, USA)
12. Optimal Sample Size Allocation For Multi-Level Stress Testing With Extreme Value Regression Under Time Censoring - by Ping Shing Chan (The Chinese University of Hong Kong, Hong Kong),Hon Yiu So (University of Waterloo, Canada), Hon Keung Tony Ng (Southern Methodist University, USA) and Wei Gao (Northeast Normal University, China)
13. Robust Mixtures Of Scale Mixtures In The Exponential Family - by Frans Kanfer and Sollie Millard (University of Pretoria, South Africa)
14. Variable Selection Of Interval-Censored Failure Time Data - by Tony Sun (University of Missouri, USA)
15. On The Design Of A Platform Trial For The Treatment Of Recurrent Clostridium Difficile Infection By Fecal Microbiota Transplantation - by Christine H. Lee (Royal Jubilee Hospital, Canada), Dina Kao (University of Alberta, Canada), Theodore Steiner (University of Vancouver, Canada), Augustine Wigle (University of Guelph, Canada) and Peter T. Kim (University of Guelph, Canada)
16. Recent Advances In Bayesian Adaptive Designs And Applications - by J. Jack Lee (University of Texas, USA)
17. Generalizability Theory For Clinician-Rated Outcomes - by Joseph C. Cappelleri (Executive Director of Biostatistics, Pfizer Inc)
18. Simultaneous Variable Selection And Estimation In Generalized Semiparametric Mixed Effect Modeling Of Longitudinal Data - by Mozhgan Taavoni and Mohammad Arashi (Shahrood University of Technology, Iran)
19. Generalized Rayleigh-Exponential-Weibull Distribution and its Application to Modelling of Progressive Type-I Interval Censored Data - by Ding-Geng Chen (University of Pretoria) and Y. L. Lio (University of South Dakota)
20. Applications Of Spatial Statistics In Poverty Alleviation In China - by Yong Ge (State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Research, China)
21. Using Improved Robust Estimators In Semiparametric Models For High Dimensional Data - by Mahdi Roozbeh and Mina Norouzirad (Semnan University, Iran)
22. GMM marginal models with time dependent covariates - by Elsa Vazquez (Arizona State University) and Jeffrey R Wilson (Arizona State University)
1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
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edited by Adil M. Bagirov, Manlio Gaudioso, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-34910-3
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Introduction
Part I: General Methods
Part II: Structure Exploiting Methods
Part III: Methods for Special Problems
Part IV: Derivative-free Methods
Introduction
Part I: General Methods
Part II: Structure Exploiting Methods
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by Thomas Bressoud, David White
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-54371-6
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Part I Foundation
1. Introduction
2. File Systems and File Processing
3. Python Native Data Structures
4. Regular Expressions
Part II Data Systems: The Data Models
5. Data Systems Models
6. Tabular Model: Structure and Formats
7. Tabular Model: Access Operations and pandas
8. Tabular Model: Advanced Operations and pandas
9. Tabular Model: Transformations and Constraints
10. Relational Model: Structure and Architecture
11. Relational Operations: Single Table
12. Relational Operations: Multiple Tables
13. Relational Database Programming
14. Relational Model: Design, Constraints, and Creation
15. Hierarchical Model: Structure and Formats
16. Hierarchical Model: Operations and Programming
17. Hierarchical Model: Constraints
Part III Data Systems: The Data Sources
18. Overview of Data Systems Sources
19. Networking and Client-Server
20. The HyperText Transfer Protocol
21. Interlude: Client Data Acquisition
22. Web Scraping
23. RESTful Application Programming Interfaces
24. Authentication and Authorization
Part I Foundation
1. Introduction
2. File Systems and File Processing
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by Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56146-8
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Part I: Introduction to Visual Analytics in Data Science
1. Introduction to Visual Analytics by an Example
2. General Concepts
3. Principles of Interactive Visualisation
4. Computational Techniques in Visual Analytics
Part II: Visual Analytics along the Data Science Workflow
5. Visual Analytics for Investigating and Processing Data
6. Visual Analytics for Understanding Multiple Attributes
7. Visual Analytics for Understanding Relationships between Entities
8. Visual Analytics for Understanding Temporal Distributions and Variations
9. Visual Analytics for Understanding Spatial Distributions and Spatial Variation
10. Visual Analytics for Understanding Phenomena in Space and Time
11. Visual Analytics for Understanding Texts
12. Visual Analytics for Understanding Images and Video
13. Computational Modelling with Visual Analytics
14. Conclusion
Part I: Introduction to Visual Analytics in Data Science
1. Introduction to Visual Analytics by an Example
2. General Concepts
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by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: International Series on Computer Entertainment and Media Technology ;
オンライン: https://doi.org/10.1007/978-3-030-61675-5
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1. Cybersecurity And Cybercrime Investigation
2. Machine Learning Framework For Messaging Forensics
3. Header-Level Investigation And Analyzing Network Information
4. Authorship Analysis Approaches
5. Authorship Analysis - Writeprint Mining For Authorship Attribution
6. Authorship Attribution With Few Training Samples
7. Authorship Characterization
8. Authorship Verification
9. Authorship Attribution Using Customized Associative Classification
10. Criminal Information Mining
11. Artificial Intelligence And Digital Forensics
1. Cybersecurity And Cybercrime Investigation
2. Machine Learning Framework For Messaging Forensics
3. Header-Level Investigation And Analyzing Network Information
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edited by Hao Dong, Zihan Ding, Shanghang Zhang
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-4095-0
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Preface
Contributors
Acknowledgements
Mathematical Notation
Acronyms
Introduction
Part 1: Foundamentals
Chapter 1: Introduction to Deep Learning
Chapter 2: Introduction to Reinforcement Learning
Chapter 3: Taxonomy of Reinforcement Learning Algorithms
Chapter 4: Deep Q-Networks
Chapter 5: Policy Gradient
Chapter 6: Combine Deep Q-Networks with Actor-Critic
Part II: Research
Chapter 7: Challenges of Reinforcement Learning
Chapter 8: Imitation Learning
Chapter 9: Integrating Learning and Planning
Chapter 10: Hierarchical Reinforcement Learning
Chapter 11: Multi-Agent Reinforcement Learning
Chapter 12: Parallel Computing
Part III: Applications
Chapter 13: Learning to Run
Chapter 14: Robust Image Enhancement
Chapter 15: AlphaZero
Chapter 16: Robot Learning in Simulation
Chapter 17: Arena Platform for Multi-Agent Reinforcement Learning
Chapter 18: Tricks of Implementation
Part IV: Summary
Chapter 19: Algorithm Table
Chapter 20: Algorithm Cheatsheet
Preface
Contributors
Acknowledgements
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by Tin-Chih Toly Chen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Applied Sciences and Technology ;
オンライン: https://doi.org/10.1007/978-3-030-86208-4
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Chapter 1. Introduction to Fuzzy Group Decision Making
Chapter 2. Fuzzy Group Decision-making Methods
Chapter 3. Deriving the Priorities of Criteria
Chapter 4. Consensus Measurement and Enhancement
Chapter 5. Aggregation Mechanisms
Chapter 1. Introduction to Fuzzy Group Decision Making
Chapter 2. Fuzzy Group Decision-making Methods
Chapter 3. Deriving the Priorities of Criteria
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edited by Antônio Márcio Tavares Thomé, Rafael Garcia Barbastefano, Luiz Felipe Scavarda, João Carlos Gonçalves dos Reis, Marlene Paula Castro Amorim
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 367
オンライン: https://doi.org/10.1007/978-3-030-78570-3
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Data Modelling and Validation of an Emergency Department Simulation Model – A Lean Healthcare Approach(Castanheira-Pinto et al.)
Assessing the Influence of Circular Economy Practices in Companies that Orchestrate an Ecosystem of a Brazilian Industrial Cluster(Bacovis et al.)
Public Transport System and its Impact of Sustainable Smart Cities: A Systematic Review (Rivera et al.)
Eco-Innovation and Digital Transformation Relationship: Circular Economy as a Focal Point (Cavalieri et al.)
Open Innovation and User-Community as Enhancers of Sustainable Innovation Ecosystems (Costa et al.)
Impact of Lean Tools on Companies during Industrial Engineering Projects Implementation: A Correlation Study (Silva et al.)
Mapping of the Porcelain Export Process in Brazil Based on the SCOR Methodology (Melo et al.)
Circular Economy for Lubricating Olis in Brazil (Araujo et al.)
Sustainability in Building Construction: A Comparison Between Certificated and Non-Certificated Companies (Moreira et al.)
S&OP as Driver for Sustainability (Azevedo et al.)
Industry 4.0 Contributions in Sustainable Operations (Gonçalves et al.)
Fuzzy Criticality Assessment of Systems External Corrosion Risk in the Petroleum Industry – A Case Study (Caiado et al.)
How much do the Objectives and KPIS of Maintenance Cover Sustainability Dimensions (Bianchi et al.)
Circular Economy and Supply Chain Management: Publications and Main Themes (Ribeiro et al.)
Framework for Implementation of Autonomous Maintenance with the HTO Approach (Loures et al.)
Definitions of Critical Risk Factors in an Effluent Drainage Network Project Using AHP: A Case of Study (Pereira et al.)
Decision-Making Process on Sustainability: A Systematic Literature Review (Fonseca et al.)
Business Simulation Games: A Comparative Analysis for Teaching of Production Engineering (Ishihara et al.)
Sofia Emi Maia Pinto Ishihara, Annibal Affonso Neto and Clóvis Neumann Descriptive Bibliometric Analysis on Vaccine Supply Chain Management for COVID-19 (Amorim Santos et al.)
Disaster Influencing Migratory Movements: A System Dynamics Analysis (Cunha et al.)
The Deprivation Cost in Humanitarian Logistics: A Systematic Review (Silva et al.)
Measuring Universities´ Strategic Commitment to the Sustainable Development Goals (Grano et al.)
The Adaptation of the Engineer to the Service Sector and the Maintenance of Economic-Social-Environmental Sustainability (Oliveira et al.).-Analysis of Biosafety Actions in Supermarkets: The Customer View (Frazão et al.)
Framework for the Development of Competencies Using a Matrix for Decision Making: A Case Study (Pavloski et al.)
Advanced Manufacturing or Industrial 4.0 Scholarly Works: Are They Relevant to Technology Development (Alvarez-Meaza et al.)
Assessment of CO2 Emission in the Soil-Cement Brick Industry: A Case Study in Southwest Paraná (Restelli et al.)
Analysis of the Perceptions on Target Costing Using a Pedagogical Case Study (Afonso et al.)
Bank Mergers and Acquisitions: A Study of Events Regarding the Stock Price in the Hypothesis of Efficient Markets (Vecchia et al.)
Cleaner Production with Economic and Environmental Assessment: A Case Study in an Aeronautical Workshop (Tucci et al.)
The Synergetic Effect of Lean Six Sigma and TRIZ on the Improvement of an Electronic Component (Araújo et al.)
The Coordination of Packaging Recycling Chain in Brazil (Vincenzi et al.)
Enabling the Use of Shop Floor Information for Multi-Criteria Decision Making in Maintenance Prediction (Netto et al.)
Exploitative Model for Dynamic Project Management Based on the Project Management Body of Knowledge (Sales et al.)
Exploratory Analysis of the Impacts of Digital Transformation on Supply Chain Management Processes (Piovesan et al.)
Industry 4.0 Technologies for Improving Functional Machinery Safety Management from the Interoperability Point of View in the Automotive Industry (Junior et al.)
A Model to Integrate the BPM Life Cycle and the Design Thinking Process (Vargas et al.)
An Internal Efficiency Benchmarking Investigation for CEF´s Sustainable Banking and Response to the COVID-19 Crisis (Nepomuceno Silva et al.)
Implementation of Takt Time in the Development of a New Value Stream Mapping in the Production of Coffee Powder (Luciano et al.)
Planning Intensive Care Resources: A Forecast and Simulation Approach Due COVID-19 Pandemic in Rio de Janeiro City (Assad et al.)
Genetic Algorithm Applied to Packaging Shape Models Using Sustainability Criteria (Brum et al.)
TPM Adaptation as Lean Healthcare Practice to Improve the Logistics Processes of a Pharmaceutical Supply Center – PSC (de Bittencourt et al.)
Green Innovation Ecosystems: An Exploratory Study of the Involved Actors (Marcon et al.)
Circular Economy and Companies: Understanding the Characteristics and the Challenge of Measurement (Baumer-Cardoso et al.)
Reviewing Photovoltaics and Electric Vehicles: Synergy and End of Life Management (Marcuzzo et al.)
Entrepreneurial Resilience and Gender: Are They Connected? Contributions Towards Entrepreneurship Policy-Package (Pita et al.)
Data Modelling and Validation of an Emergency Department Simulation Model – A Lean Healthcare Approach(Castanheira-Pinto et al.)
Assessing the Influence of Circular Economy Practices in Companies that Orchestrate an Ecosystem of a Brazilian Industrial Cluster(Bacovis et al.)
Public Transport System and its Impact of Sustainable Smart Cities: A Systematic Review (Rivera et al.)
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edited by Paolo Mariani, Mariangela Zenga
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-51222-4
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Chapter 1 - Digital methods and the evolution of the epistemology of social sciences (Enrica Amaturo, Biagio Aragona)
Chapter 2 - Restricted Cumulative Correspondence Analysis (Pietro Amenta, Antonello D’Ambra, Luigi D’Ambra)
Chapter 3 - Determining the importance of hotel services by using transitivity thresholds (Pietro Amenta, Antonio Lucadamo, Gabriella Marcarelli)
Chapter 4 - Staging cancer through text mining of pathology records (Pietro Belloni, Giovanna Boccuzzo, Stefano Guzzinati, Irene Italiano, Carlo R. Rossi, Massimo Rugge, Manuel Zorzi)
Chapter 5 - Predicting the risk of gambling activities in adolescence: a case study (Laura Benedan, Gianna Serafina Monti)
Chapter 6 - Municipal managers in Italy: Skills, training requirements and related criti-cal aspects (Mario Bolzan, Giovanna Boccuzzo, Marco Marozzi)
Chapter 7 -Attitudes towards immigrant inclusion: a look at the spatial disparities across European countries (Riccardo Borgoni, Antonella Carcagni, Alessandra Michelangeli, Federica Zaccagnini)
Chapter 8 - A bibliometric study of the global research activity in sustainability and its dimensions ( Rosanna Cataldo, Maria Gabriella Grassia, Carlo Natale Lauro, Marina Marino, Viktoriya Voytsekhovska)
Chapter 9 -Big Data Marketing: A Strategic Alliance (Federica Codignola)
Chapter 10 -Data processing in a Healthcare National System (with the analysis of the Italian HNS) (Manlio d’Agostino Panebianco, Anna Capoluongo)
Chapter 11 - Smart Tourism System in Calabria (Annarita De Maio, Daniele Ferone, Elisabetta Fersini, Enza Messina, Francesco Santoro, Antonio Violi)
Chapter 12 - Spatial Localization of Visitors Mobile Phones in a Sardinian Destinations’ Network (Anna Maria Fiori, Ilaria Foroni)
Chapter 13 - The role of Open Data in healthcare research (Carlotta Galeone, Rossella Bonzi, Paolo Mariani)
Chapter 14 -Social epidemiology: the challenges and opportunities of worldwide data consortia ( Carlotta Galeone, Rossella Bonzi, Federica Turati, Claudio Pelucchi, Matteo Rota, Carlo La Vecchia)
Chapter 15 -Identification of Opinion Makers on Twitter ( Svitlana Galeshchuk, Ju Qiu)
Chapter 16 - Modelling Human Intelligence using Mixed Model Approach ( Thanigaivasan Gokul, Mamandur Rangasamy Srinivasan, Michele Gallo)
Chapter 17 - An analysis of the impact of requirements on wages within sectors of the tourism industry ( Paolo Mariani, Andrea Marletta, Lucio Masserini, Mariangela Zenga)
Chapter 18 - Big Data and Economic Analysis: the Challenge of a Harmonised Database (Caterina Marini, Vittorio Nicolardi)
Chapter 19 -ROC Curve in GAMLSS as prediction tool for Big Data (Andrea Marletta)
Chapter 20 - Social media in disasters. Big data issues in public communication field (Francesco Marrazzo, Gabriella Punziano)
Chapter 21 - Divorce in Italy: a textual analysis of cassation judgment ( Rocco Mazza, Rosanna Cataldo, Maria Gabriella Grassia, Marina Marino, Vincenzo Pastena, Emma Zavarrone)
Chapter 22 - A Bayesian mixture model for ecotoxicological risk assessment ( Sonia Migliorati, Gianna Serafina Monti)
Chapter 23 - Virtual Encounter Simulations: A New Methodology For Generating Conflict Data (Georg P. Mueller)
Chapter 24 - Is Public Service Motivation-Performance relationship mediated by other factors? ( Raffaela Palma, Anna Crisci, Luigi D’Ambra)
Chapter 25 - A Classification Algorithm to Recognize Fake News Websites ( Giuseppe Pernagallo, Benedetto Torrisi, Davide Bennato)
Chapter 26 - A comparative analysis of the university student mobility flows among European countries (Marialuisa Restaino, Ilaria Primerano, Maria Prosperina Vitale)
Chapter 27 - A Preference Index Design for Big Data ( Venera Tomaselli, Giulio Giacomo Cantone)
Chapter 28 - Construction of an immigrant integration composite indicator through the Partial Least Squares Structural Equation Model K-Means (Venera Tomaselli, Mario Fordellone, Maurizio Vichi)
Chapter 29 - Facebook debate on Sea Watch 3 case: detecting offensive language through Automatic Topic Mining Techniques ( Alice Tontodimamma, Emiliano del Gobbo, Vanessa Russo, Annalina Sarra, Lara Fontanella)
Chapter 30 - Martini’s index and Total Factor Productivity calculation( Biancamaria Zavanella, Daniele Pirotta)
Chapter 1 - Digital methods and the evolution of the epistemology of social sciences (Enrica Amaturo, Biagio Aragona)
Chapter 2 - Restricted Cumulative Correspondence Analysis (Pietro Amenta, Antonello D’Ambra, Luigi D’Ambra)
Chapter 3 - Determining the importance of hotel services by using transitivity thresholds (Pietro Amenta, Antonio Lucadamo, Gabriella Marcarelli)
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by Iqbal Sarker, Alan Colman, Jun Han, Paul Watters
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-88530-4
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Part I Preliminaries
1 Introduction to Context-Aware Machine Learning and Mobile Data
Analytics
1.1 Introduction
1.2 Context-Aware Machine Learning
1.3 Mobile Data Analytics
1.4 An Overview of this Book
1.5 Conclusion
References
2 Application Scenarios and Basic Structure for Context-Aware
Machine Learning Framework
2.1 Motivational Examples with Application Scenarios
2.2 Structure and Elements of Context-Aware Machine Learning
Framework
2.2.1 Contextual Data Acquisition
2.2.2 Context Discretization
2.2.3 Contextual Rule Discovery
2.2.4 Dynamic Updating and Management of Rules
2.3 Conclusion
3 A Literature Review on Context-Aware Machine Learning and
Mobile Data Analytics
3.1 Contextual Information
3.1.1 Definitions of Contexts
3.1.2 Understanding the Relevancy of Contexts
3.2 Context Discretization
3.2.1 Discretization of Time-Series Data
3.2.2 Static Segmentation
vii
viii Contents
3.2.3 Dynamic Segmentation
3.3 Rule Discovery
3.3.1 Association Rule Mining
3.3.2 Classification Rules
3.4 Incremental Learning and Updating
3.5 Identifying the Scope of Research
3.6 Conclusion
Part II Context-Aware Rule Learning and Management
4 Contextual Mobile Datasets, Pre-processing and Feature Selection
4.1 Smart Mobile Phone Data and Associated Contexts
4.1.1 Phone Call Log
4.1.2 Mobile SMS Log
4.1.3 Smartphone App Usage Log
4.1.4 Mobile Phone Notification Log
4.1.5 Web or Navigation Log
4.1.6 Game Log
4.1.7 Smartphone Life Log
4.1.8 Dataset Summary
4.2 Examples of Contextual Mobile Phone Data
4.2.1 Time-Series Mobile Phone Data
4.2.2 Mobile phone data with multi-dimensional contexts
4.2.3 Contextual Apps Usage Data
4.3 Data Preprocessing
4.3.1 Data Cleaning
4.3.2 Data Integration
4.3.3 Data Transformation
4.3.4 Data Reduction
4.4 Dimensionality Reduction
4.4.1 Feature Selection
4.4.2 Feature Extraction
4.4.3 Dimensionality Reduction Algorithms
4.5 Conclusion
5 Discretization of Time-Series Behavioral Data and Rule Generation
based on Temporal Context
5.1 Introduction
5.2 Requirements Analysis
5.3 Time-series Segmentation Approach
5.3.1 Approach Overview
5.3.2 Initial Time Slices Generation
5.3.3 Behavior-Oriented Segments Generation
Contents ix
5.3.4 Selection of Optimal Segmentation
5.3.5 Temporal Behavior Rule Generation using Time Segments
5.4 Effectiveness Comparison
5.5 Conclusion
6 Discovering User Behavioral Rules based on Multi-dimensional
Contexts
6.1 Introduction
6.2 Multi-dimensional Contexts in User Behavioral Rules
6.3 Requirements Analysis
6.4 Rule Mining Methodology
6.4.1 Identifying the Precedence of Context
6.4.2 Designing Association Generation Tree
6.4.3 Extracting Non-Redundant Behavioral Association Rules
6.5 Experimental Analysis
6.5.1 Effect on the Number of Produced Rules
6.5.2 Effect of Confidence Preference the Predicted Accuracy
6.5.3 Effectiveness Comparison
6.6 Conclusion
7 Recency-based Updating and Dynamic Management of Contextual
Rules
7.1 Introduction
7.2 Requirements Analysis
7.3 An Example of Recent Data
7.4 Identifying Optimal Period of Recent Log Data
7.4.1 Data Splitting
7.4.2 Association Generation
7.4.3 Score Calculation
7.4.4 Data Aggregation
7.5 Machine Learning based Behavioral Rule Generation and Management
7.6 Effectiveness Comparison and Analysis
7.7 Conclusion
Part III Application and Deep Learning Perspective
8 Context-Aware Rule-based Expert System Modeling
8.1 Structure of a Context-Aware Mobile Expert System
8.2 Context-Aware Rule Generation Methods
8.3 Context-Aware IF-THEN Rules and Discussion
8.3.1 IF-THEN Classification Rules
8.3.2 IF-THEN Association Rules
x Contents
8.4 Conclusion
9 Deep Learning for Contextual Mobile Data Analytics
9.1 Introduction
9.2 Contextual Data
9.3 Deep Neural Network Modeling
9.3.1 Model Overview
9.3.2 Input Layer
9.3.3 Hidden Layer(s)
9.3.4 Output Layer
9.4 Prediction Results of the Model
9.5 Conclusion
References -- 10 Context-Aware Machine Learning System: Applications and -- Challenging Issues -- 10.1 Rule-based Intelligent Mobile Applications -- 10.2 Major Challenges and Research Issues -- 10.3 Concluding Remarks -- References
Part I Preliminaries
1 Introduction to Context-Aware Machine Learning and Mobile Data
Analytics
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by Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-68817-2
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Introduction to Representation Learning
Machine Learning Background
Text Embeddings
Propositionalization of Relational Data
Graph and Heterogeneous Network Transformations
Unified Representation Learning Approaches
Many Faces of Representation Learning
Introduction to Representation Learning
Machine Learning Background
Text Embeddings
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edited by Simona Balzano, Giovanni C. Porzio, Renato Salvatore, Domenico Vistocco, Maurizio Vichi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-69944-4
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Chapter 1 - Interpreting Effects in Generalized Linear Modeling (Alan Agresti, Claudia Tarantola, and Roberta Varriale)
Chapter 2 - ACE, AVAS and Robust Data Transformations: Performance of Investment Funds (Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli)
Chapter 3 - Predictive Principal Component Analysis (Simona Balzano, Maja Bozic, Laura Marcis, and Renato Salvatore)
Chapter 4 - Robust model-based learning to discover new wheat varieties and discriminate adulterated kernels in X-ray images (Andrea Cappozzo, Francesca Greselin, and Thomas Brendan Murphy)
Chapter 5 - A dynamic model for ordinal time series: an application to consumers’ perceptions of inflation (Marcella Corduas)
Chapter 6 - Deep learning to jointly analyze images and clinical data for disease detection (Federica Crobu and Agostino Di Ciaccio)
Chapter 7 -Studying Affiliation Networks through Cluster CA and Blockmodeling (Daniela D’Ambrosio, Marco Serino, and Giancarlo Ragozini)
Chapter 8 - Sectioning Procedure on Geostatistical Indices Series of Pavement Road Profiles (Mauro D’Apuzzo, Rose-Line Spacagna, Azzurra Evangelisti, Daniela Santilli, and Vittorio Nicolosi)
Chapter 9 - Directional supervised learning through depth functions: an application to ECG waves analysis (Houyem Demni)
Chapter 10 - Penalized vs. contrained approaches for clusterwise linear regression modelling (Roberto Di Mari, Stefano Antonio Gattone, and Roberto Rocci)
Chapter 11 - Effect measures for group comparisons in a two-component mixture model: a cyber risk analysis (Maria Iannario and Claudia Tarantola)
Chapter 12 - A Cramér–von Mises test of uniformity on the hypersphere (Eduardo García-Portugués, Paula Navarro-Esteban, and Juan Antonio Cuesta-Albertos)
Chapter 13 - On mean and/or variance mixtures of normal distributions (Sharon X. Lee and Geoffrey J. McLachlan)
Chapter 14 - Robust depth-based inference in elliptical models (Stanislav Nagy and Jiří Dvořák)
Chapter 15 - Latent class analysis for the derivation of marketing decisions: An empirical study for BEV battery manufacturers (Friederike Paetz)
Chapter 16 - Small Area Estimation Diagnostics: the Case of the Fay-Herriot Model (Maria Chiara Pagliarella)
Chapter 17 - A comparison between methods to cluster mixed-type data: Gaussian mixtures versus Gower distance (Monia Ranalli and Roberto Rocci)
Chapter 18 - Exploring the gender gap in Erasmus student mobility flows (Marialuisa Restaino, Ilaria Primerano, and Maria Prosperina Vitale)
Chapter 1 - Interpreting Effects in Generalized Linear Modeling (Alan Agresti, Claudia Tarantola, and Roberta Varriale)
Chapter 2 - ACE, AVAS and Robust Data Transformations: Performance of Investment Funds (Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli)
Chapter 3 - Predictive Principal Component Analysis (Simona Balzano, Maja Bozic, Laura Marcis, and Renato Salvatore)
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edited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Lecture Notes in Electrical Engineering ; 734
オンライン: https://doi.org/10.1007/978-3-030-66103-8
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Chapter 1. The Importance of Brand Affinity in Luxury Fashion Recommendations
Chapter 2. Probabilistic Color Modelling of Clothing Items
Chapter 3. User Aesthetics Identification for Fashion Recommendations
Chapter 4. Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load
Chapter 5. Attention Gets You the Right Size and Fit in Fashion
Chapter 6. The Ensemble-Building Challenge for Fashion Recommendation
Chapter 7. Outfit Generation and Recommendation – An Experimental Study
Chapter 8. Understanding Professional Fashion Stylists' Outfit Recommendation Process
Chapter 1. The Importance of Brand Affinity in Luxury Fashion Recommendations
Chapter 2. Probabilistic Color Modelling of Clothing Items
Chapter 3. User Aesthetics Identification for Fashion Recommendations
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by Huijun Wu, Maosong Fu
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-60094-5
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Part I: Heron Fundamentals
1. Stream Processing
2. Heron Basics
3. Study Heron Code
Part II: Write Heron Topologies
4. Migrate Storm Topology to Heron
5. Write Topology Code
6. Heron Topology Features
7. Heron Streamlet API
Part III: Operate Heron Clus
8. Manage a Topology
9. Manage Multiple Topologies
Part IV: Heron Insights
10. Explore Heron
11. Extending the Heron Metrics Sink
12. Extending Heron Scheduler
13. Extending Heron Scheduler
Part I: Heron Fundamentals
1. Stream Processing
2. Heron Basics
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by Innar Liiv
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 9
オンライン: https://doi.org/10.1007/978-981-16-2418-6
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Understanding the Data Model
Exploration with Structured Query Language
Association Rules
Clustering
Classification
Visualization
Network Science
Conclusions
Understanding the Data Model
Exploration with Structured Query Language
Association Rules
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edited by Krzysztof Jajuga, Krzysztof Najman, Marek Walesiak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-75190-6
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Part 1: Methodology
Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek)
Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus)
Chapter 3 - Identification of the Words Most Frequently Used by Different Generations of Twitter Users (Agata Majkowska, Kamila Migdał-Najman, Krzysztof Najman and Katarzyna Raca)
Chapter 4 - Classification Algorithms Applications for Information Security on the Internet: a Review (Michał Bryś)
Chapter 5 - Outlier Detection with the Use of Isolation Forests (Krzysztof Najman and Krystian Zieliński)
Part 2: Application in Finance
Chapter 6 - Propositions of Transformations of Asymmetrical Nominants into Stimulants on the Example of Chosen Financial Ratios ( Barbara Batóg and Katarzyna Wawrzyniak)
Chapter 7 - Gini Regression in The Capital Investment Risk Assessment – Sensitivity Risk Measures in Portfolio Analysis (Grażyna Trzpiot)
Part 3: Application in Economics
Chapter 8 - Enterprise Dark Data (Katarzyna Raca)
Chapter 9 - The Significance of Medical Science Issues in Research Papers Published in the Field of Economics (Urszula Cieraszewska, Monika Hamerska, Paweł Lula and Marcela Zembura)
Chapter 10 - Application of Duration Analysis Methods in the Study of the Exit of a Real Estate Sale Offer from the Offer Database System (Ewa Putek-Szeląg, Anna Gdakowicz)
Chapter 11 - Is Society Ready for Long-Term Investments? – Profiles of Electricity Users in Silesia (Sylwia Słupik and Joanna Trzęsiok)
Chapter 12 - The Use of the Spatial Taxonomic Measure of Development to Assess the Tourist Attractiveness of Districts of the Lesser Poland Province(Jacek Wolak)
Part 4: Application in Social Issues
Chapter 13 - Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-registration (Beata Bieszk-Stolorz)
chapter 14 - Direct Adjusted Survival Probabilities in the Analysis of Finding a Job by the Unemployed Depending on Their Individual Characteristics(Wioletta Grzenda)
Chapter 15 - Europe 2020 Strategy – Objective Evaluation of Realization and Subjective Assessment by Seniors as Beneficiaries of Social Assumptions (Klaudia Przybysz, Agnieszka Stanimir and Marta Wasiak)
Chapter 16 - Do Seniors Get to the Disco by Bike or in a Taxi? – Classification of Seniors According to Their Preferred Means of Transport (Joanna Kos-Łabędowicz and Joanna Trzęsiok)
Part 5: Application with COVID-19 Data
Chapter 17 - The Impact of the COVID-19 Pandemic on the Economies of European Countries in the Period January-September 2020 Based on Economic Indicators (Ewelina Nojszewska and Agata Sielska)
Chapter 18 - Modelling the Risk of Foreign Divestment in the Visegrad Group Countries During the COVID-19 Pandemic (Marcin Salamaga)
Chapter 19 - Analysis of COVID-19 Dynamics in EU Countries Using the Dynamic Time Warping Method and ARIMA Models (Joanna Landmesser)
Part 1: Methodology
Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek)
Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus)
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by Tilo Wendler, Sören Gröttrup
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-3-030-54338-9
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Preface
Introduction
Basic Functions of the SPSS Modeler
Univariate Statistics
Multivariate Statistics
Regression Models
Factor Analysis
Cluster Analysis
Classification Models
Using R with the Modeler
Imbalanced Data and Resampling Techniques
Case Study: Fault Detection in Semiconductor Manufacturing Process
Appendix
Preface
Introduction
Basic Functions of the SPSS Modeler
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edited by Theodore Chadjipadelis, Berthold Lausen, Angelos Markos, Tae Rim Lee, Angela Montanari, Rebecca Nugent
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-60104-1
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Chapter 1 - PerioClust: a simple hierarchical agglomerative clustering approach including constraints (Lise Bellanger, Arthur Coulon and Philippe Husi)
Chapter 2 - What was really the case? Party competition in Europe at the occasion of the 2019 European Parliament Elections (Theodore Chadjipadelis and Eftichia Teperoglou)
Chapter 3 - A Fast Electric Vehicle Planner Using Clustering (Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov)
Chapter 4 - A generalized coefficient of determination for mixtures of regressions (Roberto Di Mari, Salvatore Ingrassia and Antonio Punzo)
Chapter 5 - Distance measurement when fuzzy numbers are used. Survey of selected problems and procedures (Józef Dziechciarz and Marta Dziechciarz-Duda)
Chapter 6 - Performance measures in discrete supervised classification (Ana Sousa Ferreira and Anabela Marques)
Chapter 7 - Using EVT to assess risk on energy market (Alicja Ganczarek-Gamrot, Dominik Krezołek and Grazyna Trzpiot)
Chapter 8 - Measuring and testing mutual dependence for functional data (Tomasz Górecki, Mirosław Krzysko and Waldemar Wołynski)
Chapter 9 - Single imputation via chunk-wise PCA (Alfonso Iodice D’Enza, Francesco Palumbo and Angelos Markos)
Chapter 10 - Clustering Mixed-Type Data: a benchmark study on KAMILA and K-prototypes (Jarrett Jimeno, Madhumita Roy and Cristina Tortora)
Chapter 11 - Exploring social attitudes towards the green infrastructure plan of the Drama city in Greece (Vassiliki Kazana, Angelos Kazaklis, Dimitrios Raptis, Efthimia Chrisanthidou, Stella Kazakli and Nefeli Zagourgini)
Chapter 12 - Spatial perception for structured and unstructured data in topological data analysis (Yoshitake Kitanishi, Fumio Ishioka, Masaya Iizuka, and Koji Kurihara)
Chapter 13 - Text, Content and Data Analysis of Journal Articles: the field of International Relations (Nikos Koutsoupias and Kyriakos Mikelis)
Chapter 14 - Quantile measures of extreme risk on metals market (Dominik Krezołek and Grazyna Trzpiot)
Chapter 15 - Evaluation of Text Clustering Methods and their Dataspace Embeddings: an Exploration (Alain Lelu and Martine Cadot)
Chapter 16 - Specification of Basis Spacing for Process Convolution Gaussian Process Models (Waley Liang and Herbert Lee)
Chapter 17 - Estimation of Classification Rules from Partially Classified Data (Geoffrey McLachlan and Daniel Ahfock)
Chapter 18 - Correspondence Analysis and Kriging: Projection of quantitative information on the factorial maps (George Menexes and Thomas Koutsos)
Chapter 19 - Intertemporal exploratory analysis of e-commerce from Greek households from official statistics data (Stratos Moschidis and Athanasios Thanopoulos)
Chapter 20 - Benchmarking in cluster analysis: a study on Spectral Clustering, DBSCAN, and K-means (Nivedha Murugesan, Irene Cho, and Cristina Tortora)
Chapter 21 - Detection of Topics and Time Series Variation in Consumer Web Communication Data (Atsuho Nakayama)
Chapter 22 - Classification through graphical models: Evidences from the EU-SILC data (Federica Nicolussi, Agnese Maria Di Brisco and Manuela Cazzaro)
Chapter 23 - A simulation study for the identification of missing data mechanisms using visualisation (Johané Nienkemper-Swanepoel, Niël le Roux and Sugnet Gardner-Lubbe)
Chapter 24 - Triplet Clustering of One-Mode Two-Way Proximities (Akinori Okada and Satoru Yokoyama)
Chapter 25 - First-time Voters in Greece: Views and Attitudes of Youth on Europe and Democracy (Georgia Panagiotidou and Theodore Chadjipadelis)
Chapter 26 - Comparison of hierarchical clustering methods for binary data from SSR and ISSR molecular markers (Emmanouil Pratsinakis, Lefkothea Karapetsi, Symela Ntoanidou, Angelos Markos, Panagiotis Madesis, Ilias Eleftherohorinos and George Menexes)
Chapter 27 - One-way repeated measures ANOVA for functional data (Łukasz Smaga)
Chapter 28 - Flexible Clustering (Sokołowski Andrzej and Małgorzata Markowska)
Chapter 29 - Classification of entrepreneurial regimes: a symbolic polygonal clustering approach (Andrej Srakar and Marilena Vecco)
Chapter 30 - Multidimensional factor and cluster analysis vs embedding-based learning for personalised supermarket offer recommendations (George Stalidis, Theodosios Siomos, Pantelis Kaplanoglou, Alkiviadis Katsalis, Iphigenia Karaveli, Marina Delianidi, and Konstantinos Diamantaras)
Chapter 31 - Motivation for Participating in the Sharing Economy: The Case of Hungary (Roland Szilágyi and Levente Lengyel)
Chapter 32 - Benchmarking Minimax Linkage in Hierarchical Clustering (Xiao Hui Tai and Kayla Frisoli)
Chapter 33 - Clustering Binary Data by Application of Combinatorial Optimization Heuristics (Javier Trejos-Zelaya, Luis Eduardo Amaya-Briceño, Alejandra Jiménez-Romero, Alex Murillo-Fernández, Eduardo Piza-Volio and Mario Villalobos-Arias)
Chapter 34 - Classifying Users through Keystroke Dynamics (Ioannis Tsimperidis, Georgios Peikos and Avi Arampatzis)
Chapter 35 - Technological innovation and the critical raw material stock (Beatrix Varga and Kitti Fodor)
Chapter 36 - Redundancy analysis for binary data based on logistic responses (Jose L. Vicente-Villardon and Laura Vicente-Gonzalez)
Chapter 37 - Predictive power of school motivation clusters in secondary education (Matthijs J. Warrens and W. Miro Ebert)
Chapter 1 - PerioClust: a simple hierarchical agglomerative clustering approach including constraints (Lise Bellanger, Arthur Coulon and Philippe Husi)
Chapter 2 - What was really the case? Party competition in Europe at the occasion of the 2019 European Parliament Elections (Theodore Chadjipadelis and Eftichia Teperoglou)
Chapter 3 - A Fast Electric Vehicle Planner Using Clustering (Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov)
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by Xiaomei Zhang, Guohong Cao
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-89262-3
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Introduction
Related Work
Data Collection
Event Attendance Prediction
Performance Evaluations
Conclusions and Future Research Directions
Introduction
Related Work
Data Collection
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edited by Sven Knoth, Wolfgang Schmid
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Frontiers in Statistical Quality Control ;
オンライン: https://doi.org/10.1007/978-3-030-67856-2
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Part I Statistical Process Control
Chapter 1
Use of the Conditional False Alarm Metric in Statistical Process Monitoring
Chapter 2 Design Considerations and Tradeoffs for Shewhart Control Charts
Chapter 3 On the Calculation of the ARL for Beta EWMA Control Charts
Chapter 4 Flexible Monitoring Methods for High-Yield Processes
Chapter 5 An Average Loss Control Chart Under a Skewed Process Distribution
Chapter 6 ARL-unbiased CUSUM schemes to monitor binomial counts
Chapter 7 Statistical Aspects of Target Setting for Attribute Data Monitoring
Chapter 8 MAV control charts for monitoring two-state processes using indirectly observed binary data
Chapter 9 Monitoring Image Processes – Overview and Comparison Study
Chapter 10 Parallelized Monitoring of Dependent Spatiotemporal Processes
Chapter 11 Product’s Warranty Claim Monitoring under Variable Intensity Rates
Chapter 12 A Statistical (Process Monitoring) Perspective on Human Performance Modeling in the Age of Cyber-Physical Systems
Chapter 13 Monitoring Performance of Surgeons Using a New Risk-adjusted Exponentially Weighted Moving Average Control Chart
Chapter 14 Exploring the usefulness of Functional Data Analysis for Health Surveillance
Chapter 15 Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
Chapter 16 An approach to monitoring time between events when events are frequent
Part II Selected Topics from Statistical Quality Control
Chapter 17 Analysis of Measurement Precision Experiment with Ordinal Categorical Variables
Chapter 18 Assessing a Binary Measurement System with Operator and Random Part Effects
Chapter 19 Concepts, Methods and Tools Enabling Measurement Quality
Chapter 20 Assessing laboratory effects in key comparisons with two transfer standards measured in two petals: A Bayesian approach
Chapter 21 Quality control activities are a challenge for reducing variability
Chapter 22 Is the Benford Law useful for Data Quality Assessment?
Part I Statistical Process Control
Chapter 1
Use of the Conditional False Alarm Metric in Statistical Process Monitoring
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by Göran Kauermann, Helmut Küchenhoff, Christian Heumann
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Series in Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-69827-0
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Introduction
Background in Probability
Parametric Statistical Models
Maximum Likelihood Inference
Bayesian Statistics
Statistical Decisions
Regression
Bootstrapping
Model Selection and Model Averaging
Multivariate and Extreme Value Distributions
Missing and Deficient Data
Experiments and Causality
Introduction
Background in Probability
Parametric Statistical Models
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edited by Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R. Arabnia, Leonidas Deligiannidis
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Transactions on Computational Science and Computational Intelligence ;
オンライン: https://doi.org/10.1007/978-3-030-71704-9
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Introduction
Part I: Data Mining/Machine Learning Tasks
Data Mining Algorithms
Data Mining Integration
Data Mining Process
Data Mining Applications
Data Mining Software
Algorithms for Big Data
Big Data Fundamentals
Infrastructures for Big Data
Big Data Management and Frameworks
Big Data Search
Privacy in the Era of Big Data
Applications of Big Data
Part II: information Retrieval Systems
Knowledge Management and Cyber-Learning
Database Engineering and Systems
Data and Knowledge Processing
Databanks: Issues, Methods, and Standards
Data Warehousing and Datacenters
Health Information Systems
Data Security and Privacy Issues
Information Reliability and Security
Information and Knowledge Structures
Knowledge Life Cycle
Conclusion
Introduction
Part I: Data Mining/Machine Learning Tasks
Data Mining Algorithms
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by Robert Ball, Brian Rague
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-3-031-07865-1
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Chapter. 1. Introduction to Data Science
Chapter. 2. Data Collection
Chapter. 3. Data Wrangling
Chapter. 4. Crash Course on Descriptive Statistics
Chapter. 5. Inferential Statistics
Chapter. 6. Metrics
Chapter. 7. Recommendation Engines
Chapter. 8. Machine Learning
Chapter. 9
Natural Language Processing (NLP)
Chapter. 10. Time Series
Chapter. 11. Final Product
Chapter. 1. Introduction to Data Science
Chapter. 2. Data Collection
Chapter. 3. Data Wrangling
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by Uwe Lorenz
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-3-031-09030-1
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1 Reinforcement learning as subfield of machine learning
2 Basic concepts of reinforcement learning
3 Optimal decision-making in a known environment
4 decision making and learning in an unknown environment
5 Artificial Neural Networks as estimators for state values and the action selection
6 Guiding ideas in Artificial Intelligence over time
1 Reinforcement learning as subfield of machine learning
2 Basic concepts of reinforcement learning
3 Optimal decision-making in a known environment
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by José Unpingco
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-3-031-04648-3
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Introduction
Part 1 Getting Started with Scientific Python
Installation and Setup
Numpy
Matplotlib
Ipython
Jupyter Notebook
Scipy
Pandas
Sympy
Interfacing with Compiled Libraries
Integrated Development Environments
Quick Guide to Performance and Parallel Programming
Other Resources
Part 2 Probability
Projection Methods
Conditional Expectation as Projection
Conditional Expectation and Mean Squared Error
Worked Examples of Conditional Expectation and Mean Square Error Optimization
Useful Distributions
Information Entropy
Moment Generating Functions
Monte Carlo Sampling Methods
Useful Inequalities
Part 3 Statistics
Python Modules for Statistics
Types of Convergence
Estimation Using Maximum Likelihood
Hypothesis Testing and P-Values
Confidence Intervals
Linear Regression
Maximum A-Posteriori
Robust Statistics
Bootstrapping
Gauss Markov
Nonparametric Methods
Survival Analysis
Part 4 Machine Learning
Python Machine Learning Modules
Theory of Learning
Decision Trees
Boosting Trees
Logistic Regression
Generalized Linear Models
Regularization
Support Vector Machines
Dimensionality Reduction
Clustering
Ensemble Methods
Deep Learning
Notation
References
Index
Introduction
Part 1 Getting Started with Scientific Python
Installation and Setup
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edited by Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-3-031-05371-9
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1. What is Data Science (DS)?
2. Solutions to Data Science Problems
3. What is Dimensionality Reduction (DR)?
4. Conventional Statistical Approaches
5. Geometric Approaches
6. Information-theoretic Approaches
7. Molecular Computing Approaches
8. Statistical Learning Approaches
9. Machine Learning Approaches
10. Metaheuristics of DR Methods
11. Appendices
1. What is Data Science (DS)?
2. Solutions to Data Science Problems
3. What is Dimensionality Reduction (DR)?
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edited by Nicholas J. Daras, Themistocles M. Rassias
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 180
オンライン: https://doi.org/10.1007/978-3-030-84122-5
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Rearrangements, L-superadditivity and Jensen type inequalities (Abramovich)
Approximate generalized Jensen mappings in 2-Banach spaces (Almahalebi)
The asymptotic expansion for a class of convergent sequences defined by integrals (Andrica)
Weak Pseudoprimality Associated with the Generalized Lucas Sequences (Rassias)
Shift Invariant Spaces of Periodic Functions: Characterization, Approximation and Applications (Atreas)
Generalized intensity dependent multiphoton Jaynes-Cummings model (N. Merlemis)
Functional inequalities for multi-additive-quadratic-cubic mappings (Bodaghi)
Generalizations of Truncated M-Fractional Derivative Associated with (p, k)-Mittag-Leffler function With Classical Properties (Agarwal)
On Hyers-Ulam-Rassias stability of a Volterra-Hammerstein functional integral equation (Marian)
Analysis of Electroencephalography (EEG) signals based on the HaarWavelet transformation (P. Papadopoulos)
Perov type contractions (Karapinar)
On a logarithmic equation by primes (S. I. Dimitrov)
Hermite-Hadamard trapezoid and mid-point divergences (Dragomir)
Hermite-Hadamard type integral inequalities for perspective function (Dragomir)
On the maximum value of a multi-variable function (Hassani)
Image reconstruction for positron emission tomography based on Chebyshev polynomials (Kalantonis)
Approximation by Mixed Operators of Max-Product-Choquet Type (G. Gal)
On the Approximation of Extinction Time for the Discrete-Time Birth-Death Circuit Chains in Random Environments (Ganatsiou)
Some hyperstability results in Non Archimedean 2-Banach space for a $\sigma$-Jensen functional equation (Ghali)
A characterization for the validity of the Hermite-Hadamard inequality on a simplex (Guessab)
"On the stability of the triangular equilibrium points in the photogravitational R3BP with an oblate infinitesimal and triaxial primaries for the binary Lalande 21258 system" (E. Perdiou)
Normalized Symmetric Differential Operators in the Open Unit Disk (W. Ibrahim)
New Hermite-Hadamard inequalities concerning twice differentiable generalized $\psi$--convex mappings via conformable fractional integrals (Kashuri)
Some new fractional inequalities using n-polynomials s-type convexity (Kashuri)
Hyperstability of orthogonally 3-Lie homomorphism: an orthogonally fixed point approach (Keshavarz)
Some New Inequalities for Fractional Integral Operators (J. Kuang)
New Generalized Convexity and Their Applications (J. Kuang)
Ternary biderivations and ternary bihomorphisms in $C^*$-ternary algebras (Park)
Hyers-Ulam stability of an additive-quadratic functional equation (Park)
Orthogonal Dirichlet Polynomials (S. Lubinsky)
Generalizations and improvements of approximations of some analytic functions: a survey (Malešević)
Some classes of Meir-Keeler contractions (Gavruta)
Interpolation of the Zech’s Logarithm – Explicit Forms (Rassias)
Numerical calculations on multi-photon processes in alkali metal vapors (Merlemis)
General preinvex functions and variational-like inequalities (A. Noor)
A variational formulation of network games with random utility functions (Raciti)
Fixed point theory in graph metric spaces (Petrusel)
Approximate Solution of Fredholm Integral and Integro-Differential Equations with Non-Separable Kernels (E. Providas)
Ordinary, Super and Hyper Relators Can Be Used To Treat the Various Generalized Open Sets in a Unified Way (Szaz)
Applications of Apostol-type numbers and polynomials: Approach to techniques of computation algorithms in approximation and interpolation functions (Simsek)
Spectra of signed graphs (Triantafillou)
Perturbed Geometric Contractions in Ordered Metric Spaces (Turinici)
On ${\mathrm{G}}^{(\sigma,{\textit{h}})}$-convexity of the functions and applications to Hermite-Hadamard's inequality (U. Awan)
Rearrangements, L-superadditivity and Jensen type inequalities (Abramovich)
Approximate generalized Jensen mappings in 2-Banach spaces (Almahalebi)
The asymptotic expansion for a class of convergent sequences defined by integrals (Andrica)
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edited by Soumi Dutta, Saikat Gochhait
出版情報: Singapore : Springer Nature Singapore : Imprint: Palgrave Macmillan, 2022
オンライン: https://doi.org/10.1007/978-981-19-6506-7
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Chapter 1. Bioinformatics Overviews
chapter 2. Artificial Intelligence in Biological Sciences: A Brief Overview
chapter 3. A Review of Recent Advances in Translational Bioinformatics and Systems Biomedicine
chapter 4. Application of Bioinformatics in Agricultural Pest Management: An Overview of the Evolving Technologies
Chapter 5. Application of Bioinformatics in Healthcare and Medicine
Chapter 6. Information Retrieval in Bioinformatics: State of the Art and Challenges
Chapter 7. hybrid support vector machine with gray wolf optimization for classifying multivariate data
Chapter 8. Bioinformatics and Its Application in Computing Biological Data
Chapter 1. Bioinformatics Overviews
chapter 2. Artificial Intelligence in Biological Sciences: A Brief Overview
chapter 3. A Review of Recent Advances in Translational Bioinformatics and Systems Biomedicine
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edited by Krzysztof Jajuga, Grażyna Dehnel, Marek Walesiak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-031-10190-8
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Methods
Abstract Fuzzy Cognitive Maps as a Toll for Structuring New Research Problems
Identification of key concerns and sentiments towards data quality and data strategy challenges using Sentiment Analysis and Topic Modeling
Survival Trees and Direct Adjusted Survival Curves - Prediction of Survival Probabilities
A Measure of Cluster Stability in Dynamic Cluster Analysis
Outlier Identification for Symbolic Data with the Application of the DBSCAN Algorithm
An optimised selection of statistical disclosure control methods – a case study involving microdata from the Polish survey of accidents at work
Applications in Finance
Comparison of Influence of Various Proposals of Transforming Nominants Into Stimulants on Linear Ordering and Grouping of Listed Companies
Attributes affecting the exposure time of a residential property
Determinants of the real estate prices in Poland
Similarity of open-ended mutual funds during a pandemic. Research for equity and bond funds
Applications in Economics
Application of random forests in the study of differences in perception of the neighbourhood of national parks in the Euroregion Pomerania
Successes and failures of scientific journals and their determinants
Spatial effects in regional inequality analysis of own income potential among Polish communes
Evaluation of quality of neural network models and discriminant analysis in ROPO forecasting
The Application of Survival Analysis Methods in the Examination of Foreign Divestment in Poland
Longevity risk versus longevity dividend
Applications in Social Issues
Application of the Intuitionistic Fuzzy Synthetic Measure in the subjective quality of life measurement based on survey data
Measuring Subjective Poverty: Methodological and Application Aspects
Graphic characters as Twitter age group identifiers
Cluster Ensemble Stability in Clustering of EU Members in Terms of Sustainable Development Goals
Perception of climate change – differences between the Y and BB generations
Applications with COVID-19 Data
Cash and non-cash payments for in-store purchases during the COVID-19 pandemic - similarities and differences between Generation X and Generation Y consumers. Case of Poland
Regional labour markets as a result of the impact of the COVID-19 pandemic – a Polish-German borderland case study
The Labour Market Consequences of the COVID-19 Pandemic in the European Union Countries: Selected Issues
Analysis of the excessive number of deaths related to the COVID-19 pandemic in European countries
Methods
Abstract Fuzzy Cognitive Maps as a Toll for Structuring New Research Problems
Identification of key concerns and sentiments towards data quality and data strategy challenges using Sentiment Analysis and Topic Modeling
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by Paul Fieguth
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
オンライン: https://doi.org/10.1007/978-3-030-95995-1
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Chapter 1. Overview
Chapter 2. Introduction to Pattern Recognition
Chapter 3. Learning
Chapter 4. Representing Patterns
Chapter 5. Feature Extraction and Selection
Chapter 6. Distance-Based Classification
Chapter 7. Inferring Class Models
Chapter 8. Statistics-Based Classification
Chapter 9. Classifier Testing and Validation
Chapter 10. Discriminant-Based Classification
Chapter 11. Ensemble Classification
Chapter 12. Model-Free Classification
Chapter 13. Conclusions and Directions
Chapter 1. Overview
Chapter 2. Introduction to Pattern Recognition
Chapter 3. Learning
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by Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2022
シリーズ名: SpringerBriefs in Computational Intelligence ;
オンライン: https://doi.org/10.1007/978-981-19-4175-7
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Chapter 1. Introduction
Chapter 2. Epidemic studies and mathematical set up of SIR model
Chapter 3. Understanding and analysing the spread pattern of Covid-19
Chapter 4. SIR model based experimental investigations over Covid-19
Chapter 5. Result analysis of SIR based Covid-19 Model
Chapter 6. Exploring Covid-19 second wave dynamics using SIR epidemic model
Chapter 7. Conclusions and future scope
Chapter 1. Introduction
Chapter 2. Epidemic studies and mathematical set up of SIR model
Chapter 3. Understanding and analysing the spread pattern of Covid-19