Post-mining of association rules: Techniques for effective knowledge extraction

Publication Type:
Chapter
Citation:
2009, pp. 1 - 372
Issue Date:
2009-12-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009005764OK.pdf1.79 MB
Adobe PDF
There 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. © 2009 by IGI Global. All rights reserved.
Please use this identifier to cite or link to this item: