Zhang Association Rule Mining

Models and Algorithms
2002
ISBN: 978-3-540-46027-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 244 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Zhang, Chengqi

Zhang, Shichao

Inhaltsverzeichnis

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.