Data mining : foundations and intelligent paradigms Volume 2, Statistical, bayesian, time series and other theoretical aspects

Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisti...

Description complète

Enregistré dans:
Détails bibliographiques
Autres auteurs: Holmes, Dawn E., 19..- (Directeur de la publication), Jain, Lakhmi C., 1946- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2012.
Collection:Intelligent Systems Reference Library 24
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data mining, foundations and intelligent paradigms, Vol. 2, Statistical, Bayesian, time series and other theoretical aspects, Dawn E. Holmes et Lakhmi C. Jain, Berlin, Springer, 2012, 1 vol. (XII, 246 p.), Intelligent systems reference library, 978-3-642-23240-4
• Data Mining: Foundations and Intelligent Paradigms, Texte imprimé, 9783642434297
• Data mining, foundations and intelligent paradigms, Vol. 2, Statistical, Bayesian, time series and other theoretical aspects, Dawn E. Holmes et Lakhmi C. Jain, Berlin, Springer, 2012, 1 vol. (XII, 246 p.), Intelligent systems reference library, 978-3-642-23240-4
• Data Mining: Foundations and Intelligent Paradigms, Texte imprimé, 9783642232428
Description
Résumé:Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in data mining
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642232411
ISSN:1868-4408
Accès: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