|
![]() |
|||
|
||||
OverviewThere is often a large number of association rules discovered in data mining practice, making it difficult for users to identify those that are of particular interest to them. Therefore, it is important to remove insignificant rules and prune redundancy as well as summarize, visualize, and post-mine the discovered rules. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules. This book presents researchers, practitioners, and academicians with tools to extract useful and actionable knowledge after discovering a large number of association rules. Full Product DetailsAuthor: Yanchang Zhao (University of Technology Sydney, Australia) , Yanchang Zhao (University of Technology Sydney, Australia) , Chengqi Zhang (University of Technology, Sydney, Australia) , Longbing Cao (University of Technolog, Sydney, Australia University of Technology, Sydney, Australia University of Technolog, Sydney, Australia University of Technolog, Sydney, Australia)Publisher: Information Science Reference Imprint: Information Science Reference ISBN: 9781282130692ISBN 10: 1282130692 Pages: 372 Publication Date: 01 January 2009 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |