Foundations and novel approaches in data mining

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on th...

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Détails bibliographiques
Auteur principal: Lin, Tsau Young
Autres auteurs: Ohsuga, Setsuo (Éditeur intellectuel), Liau, Churn-Jung (Éditeur intellectuel), Hu, Xiaohua (Éditeur intellectuel), Lin, Tsau Young, 1937- (Directeur de la publication), Hu, Xiaohua Tony (Directeur de la publication), Liau, Churn-Jung, 19..- (Directeur de la publication), Ohsuga, Setsuo, 1934- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2006.
Collection:Studies in Computational Intelligence 9
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:• Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783540283157
• Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783540814283
• Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783642066504
• Foundations and Novel Approaches in Data Mining, Texte imprimé, 9783540283157
Description
Résumé:Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540312291
ISSN:1860-9503
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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