Association Rule Mining: Models and Algorithms

by Chengqi Zhang, Shichao Zhang

Overview

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.

Product Details

ISBN-13:	9783540435334
Publisher:	Springer Berlin Heidelberg
Publication date:	05/28/2002
Series:	Lecture Notes in Computer Science , #2307
Edition description:	2002
Pages:	244
Product dimensions:	6.10(w) x 9.17(h) x 0.36(d)

Table of Contents

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.