Sciweavers

Share
DATAMINE
2006

A systematic approach to the assessment of fuzzy association rules

9 years 7 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the literature. While the formal specification of fuzzy associations is more or less straightforward, the assessment of such rules by means of appropriate quality measures is less obvious. Particularly, it assumes an understanding of the semantic meaning of a fuzzy rule. This aspect has been ignored by most existing proposals, which must therefore be considered as ad-hoc to some extent. In this paper, we develop a systematic approach to the assessment of fuzzy association rules. To this end, we proceed from the idea of partitioning the data stored in a database into examples of a given rule, counterexamples, and irrelevant data. Evaluation measures are then derived from the cardinalities of the corresponding subsets. The problem of finding a proper partition has a rather obvious solution for standard association ru...
Didier Dubois, Eyke Hüllermeier, Henri Prade
Added 11 Dec 2010
Updated 11 Dec 2010
Type Journal
Year 2006
Where DATAMINE
Authors Didier Dubois, Eyke Hüllermeier, Henri Prade
Comments (0)
books