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Rule Based Mining of Nifty Fifty Stock Market Data Prediction Based on Rough Set Theory

Author Affiliations

  • 1Kunthavai Naacchiyar Government Arts College for Women (Autonomous), Thanjavur, Tamilnadu, INDIA
  • 2Kunthavai Naacchiyar Government Arts College for Women (Autonomous), Thanjavur, Tamilnadu, INDIA

Res. J. Mathematical & Statistical Sci., Volume 3, Issue (9), Pages 1-8, September,12 (2015)

Abstract

Monetary gauging or uniquely securities exchange expectation is one of the most blazing field of examination of late because of its profitmaking applications inferable from high stakes and the sorts of alluring advantages that it brings to the table. This paper introduces rough sets creating forecast guidelines plan for stock value development. The plan had the capacity separate information as principles from every day stock developments. These tenets formerly could be utilized to guide financial specialists whether to purchase, offer or hold a stock. Toward expand the effectiveness of the forecast procedure, rough sets with Boolean thinking discretization calculation is utilized to discretize the information. Rough set decrease method is connected to ?nd every one of the reducts of the information. At long last, rough sets reliance guidelines are created specifically from every produced reduct. Harsh perplexity grid is utilized to assess the execution of the anticipated reducts and classes. The consequences of rough sets utilizing reducts structure by disarray network in choice table show general higher exactness rates of Decision making coming to more than 97% and create more minimized principle.

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