Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction

Association rule mining is used in fields such as retail, insurance, and bioinformatics. This work presents recent research on reducing the number of association rules after association mining exercises. Rather than presenting algorithms or models for mining association rules themselves, the book explains methods for extracting useful and actionable knowledge after discovering a large number of association rules. After an overview of association rule mining, material is in sections on identifying interesting rules using objective and subjective measures and user feedback, post-analysis and post-mining of association rules, rule selection for classification and representation of association rules, and methods for the maintenance of association rules. The book is aimed at researchers, advanced students, and practitioners in the field of data mining. Zhao is affiliated with the University of Technology, Australia. Annotation c2009 Book News, Inc., Portland, OR (booknews.com)