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 :
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;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.790078
