• Mr. Venkata Ramana Kathi
• Dr. Geetanjali Amarawat

Predicting the performance of a Stock Market prediction Analysis. The scope of this paper is to investigate the accuracy of data mining techniques in such an environment. The first step of the study is to stock market predction data. We collected records of more than the 30days of Stock Market data , from a National Stock Exchange(NSE) Mumbai. The second step is to clean the data and choose the relevant attributes. In the third step, NaiveBayes Simple, Multi Layer Perception, Query Trending System, Time Series Analysis, Effective Market Hypoheis(EMH) algorithms were constructed and their performances were evaluated. The study revealed that the Mult iLayer Perception is more accurate than the other algorithms. This work will help the institute to accurately predict the Stock Market Analysis.

Data Mining, Classification, Decision Tree Algorithm, placement Prediction.

"Data Mining Methods & Implementation of Predictive Data Mining Architecture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.232-237, May-2019, Available :http://www.jetir.org/papers/JETIR1905Q30.pdf

"Data Mining Methods & Implementation of Predictive Data Mining Architecture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp232-237, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Q30.pdf