Review on Financial Forecasting Using Neural Network and Data Mining Technique

Mehzabin Shaikh and Gyankamal J. Chhajed

Department of Computer Engineering, VPCOE, Baramati, India.

ABSTRACT:

The rise of economic globalization and evolution of information technology, financial data are being generated and accumulated at an extraordinary speed. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount of financial data to support companies and individuals in strategic planning and investment decisionmaking. The competitive advantages achieved by data mining include increased revenue, reduced cost, and much improved marketplace responsiveness and awareness. There has been a large body of research and practice focusing on exploring data mining techniques to solve financial problems. This paper describes data mining in the context of financial application from both technical and application perspective by comparing different data mining techniques.

KEYWORDS: Data mining in Financial Forecasting; Data Mining Algorithm; Technical Indicators; BP neural network

Copy the following to cite this article: Shaikh M, Chhajed G. J. Review on Financial Forecasting Using Neural Network and Data Mining Technique. Orient. J. Comp. Sci. and Technol;5(2)

Copy the following to cite this URL: Shaikh M, Chhajed G. J. Review on Financial Forecasting Using Neural Network and Data Mining Technique. Orient. J. Comp. Sci. and Technol;5(2). Available from: http://www.computerscijournal.org/?p=2655

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