Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection
by
Koh, Yun Sing, 1978-
Title
:
Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection
Author
:
Koh, Yun Sing, 1978-
ISBN
:
9781605667553
Publication Information
:
Hershey, Pa. : IGI Global (701 E. Chocolate Ave., Hershey, PA, 17033, USA), c2010.
Physical Description
:
electronic texts (xix, 299 p. : ill.) : digital files.
Series
:
Advances in data warehousing and mining series
Advances in data warehousing and mining.
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. Effective mining of weighted Fuzzy association rules / Maybin Muyeba, M. Khan, Frans Coenen -- 5. Rare class association rule mining with multiple imbalanced attributes / Huaifeng Zhang ... [et al.] -- 6. A multi-methodological approach to rare association rule mining / Yun Koh, Russel Pears -- 7. Finding minimal infrequent elements in multi-dimensional data defined over partially ordered sets and its applications / Khaled Elbassioni -- 8. Discovering interesting patterns in numerical data with background knowledge / Szymon Jaroszewicz -- 9. Mining rare association rules by discovering quasi-functional dependencies / Giulia Bruno, Paolo Garza, Elisa Quintarelli -- 10. Mining unexpected sequential patterns and implication rules / Dong Li, Anne Laurent, Pascal Poncelet -- 11. Mining hidden association rules from real-life data / Marco-Antonio Balderas Cepeda -- 12. Strong symmetric association rules and interestingness measures / Agathe Merceron -- 13. He wasn't there again today / Richard O'Keefe, Nathan Rountree -- 14. Filtering association rules by their semantics and structures / Rangsipan Marukatat -- 15. Creating risk-scores in very imbalanced datasets / Markus Breitenbach ... [et al.] -- 16. Boosting prediction accuracy of bad payments in financial credit applications / Russel Pears, Raymond Oetama.
Abstract
:
"This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining"--Provided by publisher.
Subject Term
:
Association rule mining.
Knowledge acquisition (Expert systems)
Data mining.
Added Author
:
Koh, Yun Sing, 1978-
Rountree, Nathan, 1974-
Added Corporate Author
:
IGI Global.
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | Status |
---|
IYTE Library | E-Book | 2261864-1001 | QA76.9 .D343 R37 2010E | IGI Global |