Journal of Innovation in Computer Science and Engineering
  • Year: 2015
  • Volume: 4
  • Issue: 2

Data Mining Techniques for the growth of Financial Information Systems

  • Author:
  • C. Sunil Kumar1, R. Vikram2, K. Raveendra3
  • Total Page Count: 4
  • Page Number: 10 to 13

1Professor in ECM, SNIST, Hyderabad, Telangana, India. ccharupalli@gmail.com

2Assistant Professor in CSE, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India. captureratan@gmail.com

3Assistant Professor in CSE, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India. kondaraveendra@gmail.com

Online published on 27 June, 2017.

Abstract

One of the most emerging technologies is business, becoming more agreeable to datadriven modeling as large sets of financial data become available universally. The data mining (DM) techniques in financial information system (FIS) with Business Intelligence (BI) are applied. A Business Intelligence System (BIS) can be described as an interactive, computer based system designed to help decision makers to resolve unstructured problems. With combination of models, analytical methods, and information retrieval (IR), such systems help develop and evaluate appropriate alternatives.

Keywords

Financial data, Business Intelligence System, Business Intelligence, Financial Information System