An improved rectangular decomposition algorithm for imprecise and uncertain knowledge discovery

Authors:
Jiyoung Song;Younghee Im;Daihee Park
Affiliations:
Korea Univ. Dept. of Computer & Information Science;Korea Univ. Dept. of Computer & Information Science;Korea Univ. Dept. of Computer & Information Science
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

Citing 5
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Abstract

In this paper, we propose a novel improved algorithm for the rectangular decomposition technique for the purpose of performing fuzzy knowledge discovery from large scaled database in a dynamic environment. To demonstrate its effectiveness, we compare the proposed one which is based on the newly derived mathematical properties with those of other methods with respect to the classification rate, the number of rules, and complexity analysis.