A brief review of recent research trends on applications of computational and statistical techniques in financial and business intelligence Bhattacharya, Sukanto and Kumar, Kuldeep 2010, A brief review of recent research trends on applications of computational and statistical techniques in financial and business intelligence, in BIDW 2010 : Proceedings from the Business Intelligence and Data Warehousing conference, Global Science and Technology Forum, [Singapore], pp. 30-37. Attached Files Name Description MIMEType Size Downloads Title A brief review of recent research trends on applications of computational and statistical techniques in financial and business intelligence Author(s) Bhattacharya, Sukanto orcid.org/0000-0001-6587-2879 Kumar, Kuldeep Conference name Business Intelligence and Data Warehousing conference (1st : 2010 : Singapore) Conference location Singapore Conference dates 12-13 Jul. 2010 Title of proceedings BIDW 2010 : Proceedings from the Business Intelligence and Data Warehousing conference Editor(s) Kumar, Kuldeep Publication date 2010 Conference series Business Intelligence and Data Warehousing conference Start page 30 End page 37 Total pages 8 Publisher Global Science and Technology Forum Place of publication [Singapore] Summary 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. Language eng Field of Research 010499 Statistics not elsewhere classified 159999 Commerce, Management, Tourism and Services not elsewhere classified Socio Economic Objective 970115 Expanding Knowledge in Commerce, Management, Tourism and Services HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2010, GSTF Persistent URL http://hdl.handle.net/10536/DRO/DU:30034959 Document type: Conference Paper Collections: Faculty of Business and Law Deakin Business School Related Links Link Description Connect to conference webpage Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 30 May 2011, 10:41:04 EST Fri, 25 Nov 2011, 13:57:20 EST Fri, 25 Nov 2011, 13:58:49 EST Mon, 05 Dec 2011, 08:03:39 EST Wed, 08 Feb 2012, 15:54:47 EST Mon, 23 Jun 2014, 10:22:53 EST Mon, 23 Jun 2014, 10:24:01 EST Fri, 27 Jun 2014, 12:12:21 EST Wed, 17 Sep 2014, 19:44:21 EST Fri, 19 Sep 2014, 14:15:00 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 2055 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 30 May 2011, 10:41:04 EST