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
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;
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
DOI :
10.1109/NAFIPS.1999.781787
