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)
Resource Information
The item Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 Summary
 This book offers a snapshot of the stateoftheart 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
 Language
 eng
 Extent
 1 online resource (xxvi, 656 pages)
 Note
 Includes index
 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 BISystem 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 CategoryOrdered Data; 3 The New pDissimilarity Measure; 3.1 Motivation
 3.2 Definition of the pDissimilarity4 Clustering of the CategoryOrdered 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 LogLikelihood; 4.1 Some Variants; 5 Model Selection Criteria Based on the Expected Complete LogLikelihood; 6 Extensions of the Standard Criteria
 6.1 Existing Criteria Based on the Observed Composite LogLikelihood6.2 Novel Criteria Based on the Expected Complete Composite LogLikelihood; 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
 Isbn
 9783319252261
 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
 Subject

 Biostatistics
 Statistics
 Statistics for Life Sciences, Medicine, Health Sciences
 Statistics for Business/Economics/Mathematical Finance/Insurance
 Big data
 Information retrieval
 Statistics and Computing/Statistics Programs
 Probability and Statistics in Computer Science
 Data Mining and Knowledge Discovery
 Language
 eng
 Summary
 This book offers a snapshot of the stateoftheart 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
 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)
 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 BISystem 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 CategoryOrdered Data; 3 The New pDissimilarity Measure; 3.1 Motivation
 3.2 Definition of the pDissimilarity4 Clustering of the CategoryOrdered 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 LogLikelihood; 4.1 Some Variants; 5 Model Selection Criteria Based on the Expected Complete LogLikelihood; 6 Extensions of the Standard Criteria
 6.1 Existing Criteria Based on the Observed Composite LogLikelihood6.2 Novel Criteria Based on the Expected Complete Composite LogLikelihood; 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
 10.1007/9783319252261
 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)
 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 BISystem 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 CategoryOrdered Data; 3 The New pDissimilarity Measure; 3.1 Motivation
 3.2 Definition of the pDissimilarity4 Clustering of the CategoryOrdered 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 LogLikelihood; 4.1 Some Variants; 5 Model Selection Criteria Based on the Expected Complete LogLikelihood; 6 Extensions of the Standard Criteria
 6.1 Existing Criteria Based on the Observed Composite LogLikelihood6.2 Novel Criteria Based on the Expected Complete Composite LogLikelihood; 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
 10.1007/9783319252261
 Other physical details
 illustrations (some color).
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
Subject
 Big data
 Biostatistics
 Data Mining and Knowledge Discovery
 Information retrieval
 Probability and Statistics in Computer Science
 Statistics
 Statistics and Computing/Statistics Programs
 Statistics for Business/Economics/Mathematical Finance/Insurance
 Statistics for Life Sciences, Medicine, Health Sciences
Member of
 Online access with purchase: Springer
 Studies in classification, data analysis, and knowledge organization
Library Links
Embed (Experimental)
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/AnalysisoflargeandcomplexdataAdalbertF.X./RyBpBK06Cco/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/AnalysisoflargeandcomplexdataAdalbertF.X./RyBpBK06Cco/">Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/AnalysisoflargeandcomplexdataAdalbertF.X./RyBpBK06Cco/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/AnalysisoflargeandcomplexdataAdalbertF.X./RyBpBK06Cco/">Analysis of large and complex data, Adalbert F.X. Wilhelm, Hans A. Kestler, editors, (electronic book)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>