APPLICATIONS OF DATA MINING IN FINANCE
Keywords:
Bankruptcy, Data mining, Exchange ratesAbstract
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.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution- 4.0 International License (CC BY-4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
