NDLI: FARM: a data mining system for discovering fuzzy association rules

Content Provider	IEEE Xplore Digital Library
Author	Wai-Ho Au Chan, K.C.C.
Copyright Year	1999
Description	Author affiliation: Dept. of Comput., Hong Kong Polytech., Kowloon, Hong Kong (Wai-Ho Au)
Abstract	In this paper, we introduce a novel technique, called FARM, for mining fuzzy association rules. FARM employs linguistic terms to represent the revealed regularities and exceptions. The linguistic representation is especially useful when those rules discovered are presented to human experts for examination because of the affinity with the human knowledge representations. The definition of linguistic terms is based on fuzzy set theory and hence we call the rules having these terms fuzzy association rules. The use of fuzzy technique makes FARM resilient to noises such as inaccuracies in physical measurements of real-life entities and missing values in the databases. Furthermore, FARM utilizes adjusted difference analysis which has the advantage that it does not require any user-supplied thresholds which are often hard to determine. In addition to this interestingness measure, FARM has another unique feature that the conclusions of a fuzzy association rule can contain linguistic terms. Our technique also provides a mechanism to allow quantitative values be inferred from fuzzy association rules. Unlike other data mining techniques that can only discover association rules between different discretized values, FARM is able to reveal interesting relationships between different quantitative values. Our experimental results showed that FARM is capable of discovering meaningful and useful fuzzy association rules in an effective manner from a real-life database.
Starting Page	1217
Ending Page	1222
File Size	437366
Page Count	6
File Format	PDF
ISBN	0780354060
ISSN	10987584
DOI	10.1109/FUZZY.1999.790075
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Fuzzy systems Association rules Humans Fuzzy set theory Databases Gold Electronic mail Knowledge representation Noise measurement
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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