Challenges at the Interface of Data Analysis, Computer Science, and Optimization : Proceedings of the 34th Annual Conference of the Gesellschaft Für Klassifikation E. V., Karlsruhe, July 21 - 23, 2010

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology. Challenges at the Interface of Data Analysis, Computer Science, and Optimization 4 Preface 6 Conference Organization 8 Contents 10 Part I Classification, Cluster Analysis, and Multidimensional Scaling 16 Part II Quantification Theory 96 Part III Analysis of m-Mode n-Way and Asymmetric Data 125 Part IV Analysis of Visual, Spatial, and Temporal Data 161 Part V Network Data, Graphs, and Social Relationships 208 Part VI Text Mining 315 Part VII Dimension Reduction 334 Part VIII Statistical Musicology 352 Part IX Data Analysis in Banking and Finance 410 Part X Data Analysis in Health and Environment 437 Part XI Analysis of Marketing, Conjoint, and Multigroup Data 456 Part XII Data Analysis in Education and Psychology 513 Part XIII Analysis of Tourism Data 539 Index 557 This volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology Annotation This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests infields such as the analysis of social relationships as well as statistical musicology