Data mining is a procedure which finds valuable patterns from large amount of data. Data mining is the examination step of the "knowledge discovery in databases" process, or KDD. The general goal of the data mining process is to retrieve information from a data set and convert it into an explicable structure for further use. There are various data mining methods like classification, frequent patterns, association, clustering. The present paper provides a survey on different classification techniques involved in data mining. The idea of Classification analysis is the organization of data in given classes according to some constraints. The goal of this survey is to provide a comprehensive review on the advantages and disadvantages of the classification techniques.