DocumentCode
3027245
Title
Granular correlation analysis in data mining
Author
Pedrycz, Witold ; Smith, Michael H.
Author_Institution
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
fYear
1999
fDate
36342
Firstpage
715
Lastpage
719
Abstract
In this paper, we introduce and study fuzzy sets in the context of granular correlation. This arises as a result of using fuzzy information granules and can be regarded as a generic vehicle for data mining. It is shown how an analysis of fuzzy granular correlation helps to reveal and quantify relationships between variables in any data mining task
Keywords
correlation methods; data analysis; data mining; database theory; fuzzy set theory; cost estimation models; data mining; fuzzy correlation; fuzzy information granules; fuzzy sets; granular computation; granular correlation analysis; local data analysis; software engineering; variable relationships; Algorithm design and analysis; Automotive engineering; Data analysis; Data mining; Databases; Delta modulation; Fuzzy sets; Information analysis; Software engineering; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location
New York, NY
Print_ISBN
0-7803-5211-4
Type
conf
DOI
10.1109/NAFIPS.1999.781787
Filename
781787
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