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