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Algorithms from and for nature and life : classification and data analysis / / Berthold Lausen, Dirk Van den Poel, Alfred Ultsch, editors



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Titolo: Algorithms from and for nature and life : classification and data analysis / / Berthold Lausen, Dirk Van den Poel, Alfred Ultsch, editors Visualizza cluster
Pubblicazione: Cham, : Springer, 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (532 p.)
Disciplina: 006.31
Soggetto topico: Statistics
Classification
Information storage and retrieval systems
Altri autori: LausenBerthold  
PoelDirk Van den  
UltschAlfred  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: pt. I. Invited -- pt. II. Clustering and unsupervised learning -- pt. III. Statistical data analysis, visualization and scaling -- pt. IV. Bioinformatics and biostatistics -- pt. V. Archaeology and geography, psychology and educational sciences -- pt. VI. Text mining, social networks and clustering -- pt. VII. Banking and finance -- pt. VIII. Marketing and management -- pt. IX. Music classification workshop.
Sommario/riassunto: 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.
Titolo autorizzato: Algorithms from and for nature and life  Visualizza cluster
ISBN: 3-319-00035-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910438031003321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Classification, Data Analysis, and Knowledge Organization, . 1431-8814