Cooperation in classification and data analysis : proceedings of two german-japanese workshops

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The...

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Dettagli Bibliografici
Autore principale: Okada, Akinori
Altri autori: Imaizumi, Tadashi (Direttore editoriale), Bock, Hans-Hermann (Direttore editoriale), Gaul, Wolfgang (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizione:1st ed. 2009.
Serie:Studies in Classification, Data Analysis, and Knowledge Organization
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Description d'après consultation du 30 mars 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Cooperation in Classification and Data Analysis, Texte imprimé, 9783642006678
• Cooperation in Classification and Data Analysis, Texte imprimé, 9783642006944
• Cooperation in Classification and Data Analysis, Texte imprimé, 9783642006678
• Cooperation in Classification and Data Analysis, Texte imprimé, 9783642006944
• Cooperation in Classification and Data Analysis, Texte imprimé, 9783642006678
Descrizione
Riassunto:This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization
Descrizione del documento:Description d'après consultation du 30 mars 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografia:Bibliogr. Index
ISBN:9783642006685
ISSN:2198-3321
Accesso:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017