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Granular correlation analysis in data mining

Published 20 January 2003
W. Pedrycz, M.H. Smith
Citations8

TL;DR

It is shown how an analysis of fuzzy granular correlation helps to reveal and quantify relationships between variables in any data mining task.

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

Computer ScienceMathematics