DocumentCode
3122783
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
Volume
3
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
1235
Abstract
We introduce and study the use of the concept of granular correlation. Granular correlation arises as a result of introducing fuzzy information granules and can be regarded as a generic vehicle of data mining. It is shown how an analysis of fuzzy granular correlation helps reveal and quantify relationships between variables in any task of data mining. This analysis sheds light on an important issue of statistical relevance of granular associations in data sets.
Keywords
data mining; fuzzy set theory; probability; statistical analysis; data mining; data sets; granular associations; granular correlation analysis; statistical relevance; Algorithm design and analysis; Computer aided manufacturing; Data analysis; Data mining; Databases; Delta modulation; Fuzzy sets; Information analysis; Testing; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location
Seoul, South Korea
ISSN
1098-7584
Print_ISBN
0-7803-5406-0
Type
conf
DOI
10.1109/FUZZY.1999.790078
Filename
790078
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