Analysis of large and complex data. (2016)

• Record Type: Book
• Further Information: Note: Adalbert F.X. Wilhelm, Hans A. Kestler, editors.
• Editors: Wilhelm, Adalbert F. X; Kestler, Hans A
• 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 ``Gesundes 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.
• Publisher Details: Cham : Springer
• Publication Date: 2016
• Extent: 1 online resource (xxvi, 656 pages), illustrations (some color)
• Subjects: 005.7; Statistics; Big data; Information retrieval; Big data; Information retrieval; Computers -- Database Management -- Data Mining; Medical -- Biostatistics; Business & Economics -- Statistics; Computers -- Mathematical & Statistical Software; Science -- Life Sciences -- General; Data mining; Probability & statistics; Maths for computer scientists; Life sciences: general issues; Mathematical statistics; Data mining; Computer science; Statistical methods; Mathematical & statistical software; Electronic books
• Languages: English
• ISBNs: 9783319252261; 3319252267; 3319252240; 9783319252247
• Related ISBNs: 9783319252247
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed August 12, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.