Post-Mining of Association Rules - Techniques for Effective Knowledge Extraction (Hardcover)

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.

General

Imprint:	Information Science Reference
Country of origin:	United States
Release date:	May 2009
First published:	February 2011
Editors:	Yanchang Zhao • Chengqi Zhang • Longbing Cao
Dimensions:	280 x 216 x 22mm (L x W x T)
Format:	Hardcover
Pages:	372
ISBN-13:	978-1-60566-404-0
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	1-60566-404-9
Barcode:	9781605664040

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