Data mining is rapid growth field in order to mine the information from the huge data set. Data mining techniques are results of long process of research and product development and include artificial neural networks, decision trees and genetic algorithms. data mining is not specific to one type of media or data. Data mining should be applicable to any kind of information repository. When the data set gets very large then there is need of minimization the size of data set. It will help to

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... the complexity in dataset and minimize the search space the classification is one of the best approach to categorized the data. There are many classification methodology has been available like clustering, bysein approach, design tree etc. Recent research having lower predictive accuracy which lead to tends, combine existing log-linear model with probabilistic techniques. This paper is a survey on all these approaches with their basic working principal.