Study of Data Mining Techniques used for Financial Data Analysis
In this paper the authors describe about different data mining techniques used in financial data analysis. Financial data analysis is used in many financial institutes for accurate analysis of consumer data to find defaulter and valid customer. For this different data mining techniques can be used. The information thus obtained can be used for decision making. In this paper the authors study about loan default risk analysis, type of scoring and different data mining techniques like bayes classification, decision tree, boosting, bagging, random forest algorithm and other techniques.