• Sagar Bhushan Gawde
• Umesh Kulkarni

This work presents a novel framework for predicting stock trends and making financial trading decisions based on a combination of Data and Text Mining techniques. The prediction models of the proposed system are based on the textual content of time-stamped web documents in addition to traditional numerical time series data, which is also available from the Web. The financial trading system based on the model predictions uses three different trading strategies. In this work, our system is simulated and evaluated on real-world series of news stories and stocks data using Decision Tree Induction Algorithm. The main performance measures are the predictive accuracy of the induced models and, more importantly, the profitability of each trading strategy using these predictions.

Building An Expert System Based On Data Mining

"Building An Expert System Based On Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.111-113, May 2019, Available :http://www.jetir.org/papers/JETIRCS06027.pdf

"Building An Expert System Based On Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp111-113, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06027.pdf