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＜電子ブック＞
Algorithms from and for Nature and Life : Classification and Data Analysis / edited by Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
(Studies in Classification, Data Analysis, and Knowledge Organization. ISSN:21983321)

版	1st ed. 2013.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	XX, 547 p. 111 illus : online resource
著者標目	Lausen, Berthold editor Van den Poel, Dirk editor Ultsch, Alfred editor SpringerLink (Online service)
件　名	LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Social sciences -- Data processing  全ての件名で検索 LCSH:Operations research LCSH:Management science LCSH:Data mining LCSH:Statistics  FREE:Statistics and Computing FREE:Computer Application in Social and Behavioral Sciences FREE:Operations Research and Decision Theory FREE:Operations Research, Management Science FREE:Data Mining and Knowledge Discovery FREE:Statistics in Business, Management, Economics, Finance, Insurance
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-3-319-00035-0

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