Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection Contributor(s): Koh, Yun Sing (Editor), Rountree, Nathan (Editor) |
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ISBN: 1605667544 ISBN-13: 9781605667546 Publisher: Information Science Reference
Binding Type: Hardcover - See All Available Formats & Editions Published: August 2009 Annotation: The 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. Click for more in this series: Advances in Data Warehousing and Mining (Adwm) Book |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Education - Computers | Management Information Systems |
Dewey: 006.312 |
LCCN: 2009005260 |
Series: Advances in Data Warehousing and Mining (Adwm) Book |
Physical Information: 1" H x 8.6" W x 11.2" L (2.64 lbs) 320 pages |
Features: Bibliography, Illustrated, Index |
Review Citations: Scitech Book News 12/01/2009 pg. 31 |
Descriptions, Reviews, Etc. |
Publisher Description: The 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. |
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