Association rule mining : models and algorithms

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules,...

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Autors principals: Zhang, Chengqi, 1957-, Zhang, Shichao (Autor)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Col·lecció:Lecture notes in computer science. Lecture notes in artificial intelligence 2307
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Nota: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Association rule mining, models and algorithms, Chengqi Zhang, Shichao Zhang, Berlin, Springer, 2002, 1 vol. (XII-238 p.), Lecture notes in computer science, 3-540-43533-6
• Association Rule Mining, Texte imprimé, 9783662165751
Descripció
Sumari:Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540460275 (PDF)
ISSN:1611-3349
2945-9141
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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