Description: mining technique that discovers comprehensible IF-THEN rules using a generalized
uniform population method and a uniform operator inspired from the uniform population method. Initial
population is generated by methodically eliminating the randomness by generalized uniform population
method. In the subsequence generations, genetic diversity is ensured and premature convergence is
prevented by the uniform operator. From the experimental results, it was observed that, this method
handled the problems of GAs in the task of classi cation and guaranteed to get rid of any local solution
and rapidly found comprehensible rules.
Key Words: Data Mining, Classi
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