Naveen Kunnathuvalappil Hariharan. (2018). APPLICATIONS OF DATA MINING IN FINANCE. International Journal of Innovations in Engineering Research and Technology, 5(2), 72–77. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/2851
6 Pages Posted: 1 Oct 2021
University of the Cumberlands
Date Written: February 28, 2018
Data mining as a discipline of computer science has been widely employed in several domains as a result of the need to find methods to evaluate fast expanding data. Finance is one of the most appealing data mining application areas in these new technologies. As a means of managing large data, enterprise efficiency, and business intelligence, data mining and machine learning are critical. In the financial business, data mining is extremely valuable. To date, data mining has shown to be a viable solution for detecting financial data dynamics and linkages. It's been used in a variety of financial situations. In this work, we concentrate on the use of data mining in stock forecasting, portfolio management, and investment risk analysis, as well as the prediction of bankruptcy and foreign exchange rates and the identification of financial fraud.
Keywords: Bankruptcy, Data Mining, Exchange Rates, Financial Fraud, Portfolio Management
Suggested Citation: Suggested Citation
Kunnathuvalappil Hariharan, Naveen, Applications of Data Mining in Finance (February 28, 2018). Naveen Kunnathuvalappil Hariharan. (2018). APPLICATIONS OF DATA MINING IN FINANCE. International Journal of Innovations in Engineering Research and Technology, 5(2), 72–77. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/2851, Available at SSRN: https://ssrn.com/abstract=3914436
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