Knowledge Discovery of Classification Based on Cloud Model and Genetic Algorithm

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 classifications are helpless in the classification issues. This paper presents a classification algorithm based on cloud model and genetic algorithm. Experiments show that the algorithm is efficient to continuous attribute data sets for the classification.