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Rare association rule mining and knowledge discovery : technologies for infrequent and critical event detection /

"This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Koh, Yun Sing, 1978-; Rountree, Nathan, 1974-
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: 2010.
Literature type: Book
Language: English
Series: Advances in data warehousing and mining series
Subjects:
Association rule mining.
Knowledge acquisition (Expert systems)
Data mining.
Creating risk-scores
Effective mining of association rules
Filtering association rules
Imbalanced data sets
Mining rare association rules
Mining unexpected sequential patterns
Multi-methodological approach in rule mining
Quasi-functional dependencies
Rare association rule mining
Strong symmetric association rules
Weighted fuzzy association rules
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-754-6
Summary: "This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.
Carrier Form: PDFs (xix, 299 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9781605667553 (ebook)
1605667552 (ebook)
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: QA76
CLC: TP311.13
Contents: 1. Rare association rule mining / Yun Koh, Nathan Rountree -- 2. Association rule and quantitative association rule mining among infrequent items / Ling Zhou, Stephen Yau -- 3. Replacing support in association rule mining / Rosa Meo, Dino Ienco -- 4. Ef

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