Performance Analysis of Data Mining Techniques for Stock Price Forecasting

Abstract

Prediction of stock price is very challenging task due to dynamic changes value of company stock. The successfully stock prediction helps to profit the company otherwise face the problem of loss. This paper presents the analytical study of various data mining based predictive models to predict the stock in financial domain and find the most consistent prediction model among them. In Stock Market, Data mining play very important role to analysis of data. Data mining techniques can be applied on past and present financial data to generate pattern and decision making. In this paper, we have used predictive techniques like Decision Tree (DT), Random Forest(RF), Support Vector Machine (SVM), Random Tree(RT) and Multilayer Perceptron (MLP) for analysis and perdition of stock market. We have used Bombay Stock Exchange (BSE) data set to analysis of stock market prediction.