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OverviewThe growing complexity and volume of modern databases make it increasingly important for researchers and practitioners involved with association rule mining to make sense of the information they contain. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining. Covering a comprehensive range of topics, this book discusses underlying frameworks, mining techniques, interest metrics, and real-world application domains within the field. Full Product DetailsAuthor: Yun Sing Koh (Auckland University of Technology, New Zealand University of Auckland, New Zealand University of Auckland, New Zealand University of Auckland, New Zealand) , Yun Sing Koh (Auckland University of Technology, New Zealand University of Auckland, New Zealand University of Auckland, New Zealand University of Auckland, New Zealand) , Nathan Rountree (University of Otago, NZ)Publisher: Information Science Reference Imprint: Information Science Reference ISBN: 9781282311954ISBN 10: 1282311956 Pages: 299 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 |
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