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Algorithms from and for Nature and Life Classification and Data Analysis

Title
Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis / edited by Berthold Lausen, Dirk Van den Poel, Alfred Ultsch.
ISBN
9783319000350
Publication
Cham : Springer International Publishing : Imprint: Springer, 2013.
Physical Description
XX, 547 p. 111 illus. online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 07, 2013
Series
Studies in classification, data analysis, and knowledge organization.
Studies in Classification, Data Analysis, and Knowledge Organization,
Contents
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.
Also listed under
Van den Poel, Dirk.
Ultsch, Alfred.
SpringerLink (Online service)
Citation

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