Comparison of Data Mining Techniques used for Financial Data Analysis

In this paper comparison of different data mining techniques used in financial data analysis is done. Financial data analysis is used in many financial institutes for accurate analysis of customer data to find defaulter and valid customer. In this paper we study about different data mining techniques and further we compare the accuracy of these algorithms by applying on different datasets to find the most consistent and most accurate data mining algorithm Keywords— Data mining, Bayes Classification, Decision Tree, Boosting, Bagging, Random forest algorithm