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A Hybrid Algorithm Combined Genetic Algorithm with Information Entropy for Data Mining

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2 Author(s)
Hua Tang ; Computer Engineering Department of Nanhai Campus, South China Normal University, Foshan, 528225, China ; Jun Lu

This paper proposes a data mining algorithm based on genetic algorithm and entropy for rule discovery called Genetic-Miner. The goal of Genetic-Miner is to discover classification rules in data sets. We have compared the performance of Genetic-Miner with other two well-known algorithms in six public domain data sets. The results showed that, Genetic-Miner is particularly advantageous when it is important to minimize the number of discovered rules and rule terms in order to improve comprehensibility of the discovered knowledge.

Published in:

2007 2nd IEEE Conference on Industrial Electronics and Applications

Date of Conference:

23-25 May 2007