New perspectives in statistical modeling and data analysis : proceedings of the 7th conference of the classification and data analysis group of the Italian Statistical Society, Catania, September 9 - 11, 2009

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The...

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Détails bibliographiques
Auteurs principaux: Ingrassia, Salvatore, Rocci, Roberto (Auteur), Vichi, Maurizio (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2011.
Collection:Studies in Classification, Data Analysis, and Knowledge Organization
Sujets:
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Note: Description d'après consultation du 09 avril 2013
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• New perspectives in statistical modeling and data analysis, proceedings, of the 7th conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, september 9-11, 2009, 2011, Heidelberg [etc.], Springer, 1 vol. (XXII-587 p.), Studies in classification, data analysis, and knowledge organization, 978-3-642-11362-8
Description
Résumé:This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy
Description:Description d'après consultation du 09 avril 2013
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliographie:Bibliogr. Index
ISBN:9783642113635
ISSN:2198-3321
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017