A computational model for financial reporting fraud detection

Decision Support Systems

Volumn 50, Issue 3, 2011, Pages 595-601

  Glancy, Fletcher H ^a   Yadav, Surya B ^b  

^a LINDENWOOD UNIVERSITY   (United States)

^b TEXAS TECH UNIVERSITY   (United States)

Author keywords

Financial reporting; Fraud; Quantitative model; Text mining

Indexed keywords

ANALYTICAL METHOD; COMPUTATIONAL MODEL; COMPUTER-MEDIATED COMMUNICATION; FINANCIAL REPORTING; FRAUD; FRAUD DETECTION; QUANTITATIVE APPROACH; QUANTITATIVE MODELS; SCREENING TOOL; TEXT MINING; TEXTUAL DATA;

FINANCE;

CRIME;

EID: 78651078395     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2010.08.010     Document Type: Article

References (42)

1. R.N. Aditya The psychology of deception in marketing: a conceptual framework for research and practice Psychology and Marketing 18 7 2001
2. R. Albright Taming Text with the SVD, SAS Institute White Paper 2004 Retrieved from www.sas.com/apps/whitepapers/whitepaper.jsp?code=SDM5
3. J. Arbuthnott, An Argument for Divine Providence, taken from the constant Regularity observ'd in the Births of both Sexes, Philosophical Transactions 27(1710).
4. D. Baldwin, and S.B. Yadav The process of research investigaions in artificial intelligence - an unified view IEEE Transactions on Systems, Man, and Cybernetics 25 5 1995
5. B. Ballou, and J.M. Mueller Helecom communications: considering fraud risk on an engagement before and after analyzing a key business process Issues in Accounting Education 20 1 2005
6. M.D. Beneish The detection of earnings manipulations Financial Analysts Journal 55 5 1999
7. S. Borman The Expectation Maximization Algorithm: A short tutorial 2009 Retrieved from http://www.seanborman.com/publications/EM-algorithm.pdf
8. D.B. Buller, and J.K. Burgoon Interpersonal detection theory Communication Theory 6 3 1996
9. J.K. Burgoon, and D.B. Buller Interpersonal deception: III. Effects of deceit on perceived communication and nonverbal behavior dynamics Journal of Nonverbal Behavior 18 2 1994
10. J.K. Burgoon, D.B. Buller, A.S. Ebesu, and P. Rockwell Interpersonal deception: V. Accuracy in deception detection Communications Monographs 61 1994
11. J.R. Carlson, J.F. George, J.K. Burgoon, M. Adkins, and C.H. White Deception in computer-mediated communication Group Decision and Negotiation 13 1 2004
12. H. Chen, W. Chung, J.J. Xu, G. Wang, Y. Qin, and M. Chau Crime Data Mining: A General Framework and Some Examples Computer 37 4 2004
13. N.T. Churyk, C.C. Lee, and D.B. Clinton Early Detection of Fraud: Evidence from Restatements V. Arnold, Advances is Accounting Behavioral Research Vol. 12 2009 JAI Press Bingley, UK
14. J. Cohen Statisical Power Analysis for the Behavioral Sciences 1988 Lawrence Erlbaum Associates Hillsdale, NJ
15. R.S. Collica CRM Segmentation and Clustering using SAS Enterprise Miner 2007 SAS Institute Inc. Cary NC
16. W.J. Conover Practical Nonparametric Statistics Third Edition 1999 John Wiley & Sons, Inc New York
17. N. Conz Mining Your Own Business - data mining technologies can help insurers access and leverage the institutional knowledge vital to fraud mitigation efforts that is locked inside their current and historical claims data Insurance and Technology 32 10 2007
18. M. Ellingsworth Mining Tools Put Text into Context Optimize 2003 October 1
19. J. Gao, and J. Zhang Clustering SVD strategies in latent semantic indexing Information Processing and Management 41 2005
20. J.F. George, K. Marett, and P.A. Tilley The Effects of warnings, computer-based media, and probing activity on successful lie detection IEE Transactions on Professional Communication 51 1 2008
21. B.G. Glaser The constant comparative method of qualitative analysis Social Problems 12 4 1965
22. E.R. Hake Financial illusion: accounting for profits in an enron world Journal of Economic Issues 39 3 2005
23. J.T. Hancock, L.E. Curry, S. Goorha, and M. Woodworth On lying and being lied to: a linguistic analysis of deception in computer-mediated communication Discourse Processes 45 1 2008
24. M. Hearst What is Text Mining? 2003 Retrieved from http://www.ischool. berkley.edu/~hearst/text-mining.html
25. A.R. Hevner, S.T. March, J. Park, and S. Ram Design science in information systems research MIS Quarterly 28 1 2004
26. S. Jacobs, E.J. Dawson, and D. Brashers Information manipulation theory: a replication and assessment Communications Monographs 63 1996
27. S.S. Kamaruddin, A.R. Hamdan, and A.A. Bakar Text mining for deviation detection in financial statements Proceedings of the International Conference on Electrical Engineering and Informatics 2007 Institut Teknologi Bandung Indonesia June 17-19
28. K.A. Kaminski, T.S. Wetzel, and L. Guan Can financial ratios detect fraudulent financial reporting? Managerial Auditing Journal 19 1 2004
29. E. Kirkos and Y. Manolpoulos, Data Mining in Finance and Accounting: A review of Current Research Trends, Paper presented at the Internation Conference on Enterprise Systems and Accounting (Thessaloniki, Greece 2004).
30. E. Kirkos, C. Spathis, and Y. Manolopulos Data mining techniques for the detection of fraudulent financial statements Expert Systems With Applications 32 2007
31. S. Kotsiantis, E. Koumanakos, D. Tzelepis, and V. Tampakas Forecasting fraudulent financial statements using data mining International Journal of Computational Intelligence 3 2 2006
32. S.A. McCornack Information manipulation theory Communications Monographs 59 1 1992
33. J.W. Pennebaker, C.K. Chung, M. Ireland, A. Gonzales, and R.J. Booth The LIWC Application 2009 Retrieved from http://www.liwc.net/liwcdescription.php
34. C. Phua, V. Lee, K. Smith, and R. Gayler A Comprehensive Survey of Data Mining-based Fraud Detection Research 2005 Available at http://www.bsys.monash. edu.au/people/cphua/
35. M.A. Siegel Options backdating The CPA Journal 77 19 2007
36. K.J. Srnka, and S.T. Koeszegi From words to numbers: how to transform qualitative data into meaningful quantitative results Schmalenbach Business Review 59 2007
37. S.L. Summers, and J.T. Sweeney Fraudulently misstated financial statements and insider trading: an empirical analysis The Accounting Review 73 1 1998
38. B.G. Tabachnick, and L.S. Fidell Using Multivariate Statistics Fifth ed. 2007 Pearson Boston MA
39. R. Tillman and M. Indergaard, Pump and Dump: Corporate Corruption in the New Economy, Paper presented at the American Sociological Association, (Annual Meeting 2003).
40. R. Wheeler, and S. Aitken Multiple algorithms for fraud detection Knowledge-Based Systems 13 2000
41. L. Zhou An empirical investigation of deception behavior in instant messaging IEEE Transactions on Professional Communication 48 2 2005
42. L. Zhou, J.K. Burgoon, J.F. Nunamaker, and D. Twitchell Automating linguistics-based cues for detecting deception in text-based asynchronous computer mediated communication Group Decision and Negotiation 13 1 2004