Association Rule Mining

Shichao Zhang

ISBN 10: 3540435336 / ISBN 13: 9783540435334

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2002, 2002

Riguardo questo articolo

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch.

Codice articolo 9783540435334

Dati bibliografici

• Titolo: Association Rule Mining
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2002
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 3540435336
• ISBN 13: 9783540435334
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

Contenuti

Association Rule.- Negative Association Rule.- Causality in Databases.- Causal Rule Analysis.- Association Rules in Very Large Databases.- Association Rules in Small Databases.- Conclusion and Future Work.