Coverart for item
The Resource Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)

Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)

Label
Analysis of large and complex data
Title
Analysis of large and complex data
Statement of responsibility
Adalbert F.X. Wilhelm, Hans A. Kestler, editors
Contributor
Editor
Subject
Language
eng
Summary
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process
Member of
Cataloging source
N$T
Dewey number
005.7
Illustrations
illustrations
Index
index present
LC call number
QA76.9.B45
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Wilhelm, Adalbert F. X.
  • Kestler, Hans A.
Series statement
Studies in classification, data analysis, and knowledge organization,
http://library.link/vocab/subjectName
  • Big data
  • Information retrieval
  • Statistics
  • Statistics and Computing/Statistics Programs
  • Data Mining and Knowledge Discovery
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Statistics for Business/Economics/Mathematical Finance/Insurance
  • Probability and Statistics in Computer Science
  • Biostatistics
Label
Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Foreword; Preface; Acknowledgements; Contents; Contributors; Part I Invited Papers; Latent Variables and Marketing Theory: The Paradigm Shift; 1 Introduction; 2 Marketing Constructs and Latent Variables Models; 2.1 The Evolution of Marketing Theory; 2.2 Domains of Marketing Constructs; 3 Latent Variables in Marketing; 3.1 Three Types of Latent Variables; 3.2 Reflective: Formative Dichotomy in Comparative Analysis; 4 Measurement Models Life Cycles; 5 Summary; References
  • Business Intelligence in the Context of Integrated Care Systems (ICS): Experiences from the ICS G̀̀esundes Kinzigtal'' in Germany1 Background; 2 Transforming Data into Information: Data Sources, Data Processing and Data Warehouse of Gesundes Kinzigtal; 3 From Information to Knowledge to Action: Applications of the BI-System in Gesundes Kinzigtal; 4 Lessons Learned and Outlook; References; Clustering and a Dissimilarity Measure for Methadone Dosage Time Series; 1 Introduction; 2 Data; 2.1 Plain Dosage Data; 2.2 Category-Ordered Data; 3 The New p-Dissimilarity Measure; 3.1 Motivation
  • 3.2 Definition of the p-Dissimilarity4 Clustering of the Category-Ordered Data; 5 Discussion; References; Linear Storage and Potentially Constant Time Hierarchical Clustering Using the Baire Metric and Random Spanning Paths; 1 Introduction; 2 Data; 3 Random Projection and Use for Clustering; 4 Baire Clustering of a Random Spanning Path; 4.1 Random Spanning Paths; 4.2 Inducing a Hierarchy through Endowing the Data with the Baire Metric; 4.3 Stability of Random Spanning Path; 4.4 Random Spanning Paths are Highly Correlated; 5 Applying the Baire Distance to Obtain the Hierarchical Clustering
  • 5.1 The Baire Metric and Ultrametric5.2 A Theorem Ensuing from the Baire Ultrametric; 5.3 Visualization of Baire Hierarchy; 6 Conclusions; References; Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Model for Ordinal Data; 1 Introduction; 2 Mixture Model for Ordinal Data; 3 Model Selection in a Mixture Setting; 4 Model Selection Criteria Based on the Observed Log-Likelihood; 4.1 Some Variants; 5 Model Selection Criteria Based on the Expected Complete Log-Likelihood; 6 Extensions of the Standard Criteria
  • 6.1 Existing Criteria Based on the Observed Composite Log-Likelihood6.2 Novel Criteria Based on the Expected Complete Composite Log-Likelihood; 7 Simulation Study; 8 Conclusions; Appendix; References; Part II Big Data; Textual Information Localization and Retrieval in Document Images Based on Quadtree Decomposition; 1 Introduction; 2 Quadtree Decomposition; 3 The Textual Information Localization Algorithm; 4 Experimentation; 5 Conclusion; References; Selection Stability as a Means of Biomarker Discoveryin Classification; 1 Introduction; 2 Methods; 2.1 Feature Selection
Control code
SPR956319253
Dimensions
unknown
Extent
1 online resource (xxvi, 656 pages)
File format
unknown
Form of item
online
Isbn
9783319252261
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-25226-1
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)
Publication
Note
Includes index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Foreword; Preface; Acknowledgements; Contents; Contributors; Part I Invited Papers; Latent Variables and Marketing Theory: The Paradigm Shift; 1 Introduction; 2 Marketing Constructs and Latent Variables Models; 2.1 The Evolution of Marketing Theory; 2.2 Domains of Marketing Constructs; 3 Latent Variables in Marketing; 3.1 Three Types of Latent Variables; 3.2 Reflective: Formative Dichotomy in Comparative Analysis; 4 Measurement Models Life Cycles; 5 Summary; References
  • Business Intelligence in the Context of Integrated Care Systems (ICS): Experiences from the ICS G̀̀esundes Kinzigtal'' in Germany1 Background; 2 Transforming Data into Information: Data Sources, Data Processing and Data Warehouse of Gesundes Kinzigtal; 3 From Information to Knowledge to Action: Applications of the BI-System in Gesundes Kinzigtal; 4 Lessons Learned and Outlook; References; Clustering and a Dissimilarity Measure for Methadone Dosage Time Series; 1 Introduction; 2 Data; 2.1 Plain Dosage Data; 2.2 Category-Ordered Data; 3 The New p-Dissimilarity Measure; 3.1 Motivation
  • 3.2 Definition of the p-Dissimilarity4 Clustering of the Category-Ordered Data; 5 Discussion; References; Linear Storage and Potentially Constant Time Hierarchical Clustering Using the Baire Metric and Random Spanning Paths; 1 Introduction; 2 Data; 3 Random Projection and Use for Clustering; 4 Baire Clustering of a Random Spanning Path; 4.1 Random Spanning Paths; 4.2 Inducing a Hierarchy through Endowing the Data with the Baire Metric; 4.3 Stability of Random Spanning Path; 4.4 Random Spanning Paths are Highly Correlated; 5 Applying the Baire Distance to Obtain the Hierarchical Clustering
  • 5.1 The Baire Metric and Ultrametric5.2 A Theorem Ensuing from the Baire Ultrametric; 5.3 Visualization of Baire Hierarchy; 6 Conclusions; References; Standard and Novel Model Selection Criteria in the Pairwise Likelihood Estimation of a Mixture Model for Ordinal Data; 1 Introduction; 2 Mixture Model for Ordinal Data; 3 Model Selection in a Mixture Setting; 4 Model Selection Criteria Based on the Observed Log-Likelihood; 4.1 Some Variants; 5 Model Selection Criteria Based on the Expected Complete Log-Likelihood; 6 Extensions of the Standard Criteria
  • 6.1 Existing Criteria Based on the Observed Composite Log-Likelihood6.2 Novel Criteria Based on the Expected Complete Composite Log-Likelihood; 7 Simulation Study; 8 Conclusions; Appendix; References; Part II Big Data; Textual Information Localization and Retrieval in Document Images Based on Quadtree Decomposition; 1 Introduction; 2 Quadtree Decomposition; 3 The Textual Information Localization Algorithm; 4 Experimentation; 5 Conclusion; References; Selection Stability as a Means of Biomarker Discoveryin Classification; 1 Introduction; 2 Methods; 2.1 Feature Selection
Control code
SPR956319253
Dimensions
unknown
Extent
1 online resource (xxvi, 656 pages)
File format
unknown
Form of item
online
Isbn
9783319252261
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-25226-1
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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