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Improvement of decision tree generation by using instance-based learning and clustering method

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2 Author(s)
J. Jia ; Graduate Sch. of Sci. & Eng., Shizuoka Univ., Japan ; K. Abe

A new classifier, which can be regarded as modification of an existing top-down decision tree generation approach C4.5, is proposed. It utilizes a clustering method as preprocessing and a k-nearest neighbor rule as a complementary classifier to C4.5 applied to each cluster. Experiments on several standard data sets demonstrate improvements of performance of the new classifier compared with that of C4.5

Published in:

Systems, Man, and Cybernetics, 1996., IEEE International Conference on  (Volume:1 )

Date of Conference:

14-17 Oct 1996