Mining fuzzy association rules

doi:10.1145/266714.266898

Mining fuzzy association rules

Full Text:

Pdf

Buy this Article

Authors:	Keith C. C. Chan	Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
	Wai-Ho Au	Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

Published in:

	· Proceeding
	CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
	ACM New York, NY, USA ©1997 table of contents ISBN:0-89791-970-X doi>10.1145/266714.266898

	1997 Article
Bibliometrics
· Downloads (6 Weeks): 5 · Downloads (12 Months): 56 · Citation Count: 20

Tools and Resources

Buy this Article
Request Permissions
TOC Service:
- Email
- RSS
Save to Binder
Export Formats:
- BibTeX
- EndNote
- ACM Ref
Upcoming Conference:
- CIKM'12

Tags: algorithms analysis of algorithms data mining design experimentation fuzzy association rules interestingness measure languages linguistic terms management measurement performance theory uncertainty, fuzzy, and probabilistic reasoning

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2012 ACM, Inc.
Terms of Usage Privacy Policy Code of Ethics Contact Us

Useful downloads:

Adobe Acrobat

QuickTime

Windows Media Player

Real Player