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As an important branch of Knowledge Discovery, the task of Data Classification is to determine the objects that belong to which pre-defined goals. As evolutionary computation does not require priori assumptions, it shows great vitality in dealing with imprecise, incomplete and uncertain information, which the traditional methods of statistical(More)
Different condition attributes in classification of data sets often have different importance in relation to the decision attributes. Not all condition attributes are necessary in constructing classification rules, excluding some attributes will not affect the classification results. Thus attribute reduction is an important pre-treatment process in(More)
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