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Presentation
A brief review of recent research trends on applications of computational and statistical techniques in financial & business intelligence
Annual international academic conference on Business Intelligence & Data Warehousing (BIDW 2010)
  • Kuldeep Kumar, Bond University
  • Sukanto Bhattacharya, Deakin University
Date of this Version
7-12-2010
Document Type
Conference Paper
Publication Details

Interim status: Citation only.

Kumar, K. & Bhattacharya, S. (2010). A brief review of recent research trends on applications of computational and statistical techniques in financial & business intelligence. Paper presented at the annual international academic conference on Business Intelligence & Data Warehousing (BIDW 2010), Singapore.

Access the publisher's website.

2010 HERDC submission. FoR Code: 010400

© Copyright GSTF, 2010

ISBN
978-981-08-6308-1
Abstract

Artificial neural networks and statistical techniques like decision trees,
discriminant analysis, logistic regression and survival analysis play a crucial role in Business Intelligence. These predictive analytical tools exploit patterns found in historical data to make predictions about future events. In this paper we have shown some recent developments of a few of these techniques in financial and business intelligence applications like fraud detection, bankruptcy prediction and credit rating scoring.

Citation Information
Kuldeep Kumar and Sukanto Bhattacharya. "A brief review of recent research trends on applications of computational and statistical techniques in financial & business intelligence" Annual international academic conference on Business Intelligence & Data Warehousing (BIDW 2010) (2010) p. 30 - 37
Available at: http://works.bepress.com/kuldeep_kumar/33/