Abstract
Data mining has been an active area of research for the past couple of decades. Classification is an important data mining technique that consists of assigning a data instance to one of the several predefined categories. Various successful methods have already been suggested and tested to solve the problems of the classification. In this paper, author proposed a new hybrid classifier by combining evolutionary and non-evolutionary algorithms; specifically, by merging Genetic Programming and Decision Tree to improve the accuracy, comprehensibility and timing of the classification.
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