Association Rule Mining
Models and Algorithms
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Beschreibung
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.
Includes supplementary material: sn.pub/extras
Autor*in
Chengqi Zhang
Themen in »Association Rule Mining«
Algorithmic Learning Association Rule Mining Association Rules Causal Rules Computational Learning Discovery Science Quantitative Associati algorithms data analysis data mining database knowledge knowledge discovery learning machine learning