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.