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Volumn 1, Issue , 2010, Pages 50-53

A comprehensive survey of data mining-based accounting-fraud detection research

Author keywords

Accounting fraud detection; Algorithm; Classifier evaluation; Data mining; Data set

Indexed keywords

CLASSIFIER EVALUATION; DATA SETS; DATA SUBJECTS; EIGEN-VALUE; FINANCIAL STATEMENTS; FRAUD DETECTION; MINING ALGORITHMS; OTHER ALGORITHMS; PERFORMANCE MEASUREMENTS; RATIO DATA; REGRESSION MODEL; SMALL SIZE; TIME SERIES DATA MINING; TRAINING SAMPLE;

EID: 77955798087     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2010.831     Document Type: Conference Paper
Times cited : (124)

References (29)
  • 2
    • 0035789256 scopus 로고    scopus 로고
    • Magical thinking in data mining: Lessons from COIL challenge 2000
    • Elkan, C. (2001). Magical Thinking in Data Mining: Lessons from COIL Challenge 2000. Proc. of SIGKDD01, 426-431.
    • (2001) Proc. of SIGKDD01 , pp. 426-431
    • Elkan, C.1
  • 3
    • 3242795035 scopus 로고    scopus 로고
    • Introduction: Lessons learned from data mining applications and collaborative problem solving
    • P. 57
    • Lavrac, N., Motoda, H., Fawcett, T., Holte, R., Langley, P. & Adriaans,. Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.Machine Learning, 2004, (1-2)P. 57: 13-34.
    • (2004) Machine Learning , Issue.1-2 , pp. 13-34
    • Lavrac, N.1    Motoda, H.2    Fawcett, T.3    Holte, R.4    Langley, P.5    Adriaans6
  • 4
    • 33749579022 scopus 로고    scopus 로고
    • Analysis of efficiency and effectiveness of auditing to detect management fruad
    • Ashutosh Deshimukh, Khondkar E.Karim, Philp H.Siegel. Analysis of Efficiency and Effectiveness of Auditing to Detect Management Fruad. International Journal of Auditing, 1998, 2(2):127-138.
    • (1998) International Journal of Auditing , vol.2 , Issue.2 , pp. 127-138
    • Deshimukh, A.1    Karim, K.E.2    Siegel, P.H.3
  • 5
    • 17144412609 scopus 로고    scopus 로고
    • Assessing the risk of management farud through neural network technology
    • Brian Patrick Green, Jae Hwa Choi. Assessing the Risk of Management Farud Through Neural Network Technology.Auditing:A Jounrnal of Practice&Theory, 1997, 16(1):14-28.
    • (1997) Auditing: A Jounrnal of Practice&Theory , vol.16 , Issue.1 , pp. 14-28
    • Green, B.P.1    Choi, J.H.2
  • 6
    • 77955782661 scopus 로고    scopus 로고
    • A comprehensive survey of data mining-based fraud detection research
    • Clifton Phua, Vincent Lee, Kate Smith& Ross Gayler. A comprehensive survey of data mining-based fraud detection research. Working paper, 2005.
    • (2005) Working Paper
    • Phua, C.1    Lee, V.2    Smith, K.3    Gayler, R.4
  • 7
    • 0003528064 scopus 로고
    • Review of SEC accounting and auditing enforcement releases
    • University of Utah
    • Loebbecke, J. K., M. and Willingham. 1988. Review of SEC Accounting and Auditing Enforcement Releases. Working Paper, University of Utah.
    • (1988) Working Paper
    • Loebbecke, J.K.M.1    Willingham2
  • 8
    • 0001994643 scopus 로고
    • Auditors' experience with material irregularities: Frequency, nature and detectability
    • Fall
    • Loebbecke, J. K., M. Eining, and J. Willingham. 1989. Auditors' experience with material irregularities: Frequency, nature and detectability. Auditing: A Journal of Practice & Theory (Fall): 1-28.
    • (1989) Auditing: A Journal of Practice & Theory , pp. 1-28
    • Loebbecke, J.K.1    Eining, M.2    Willingham, J.3
  • 9
    • 0003570482 scopus 로고
    • Assessing the likelihood of fraudulent financial reporting: A cascaded logit approach
    • KPMG LLP
    • Bell, T. B., S. Szykowny, and J. J. Willingham. 1991. Assessing the likelihood of fraudulent financial reporting: A cascaded logit approach. Working paper, KPMG LLP.
    • (1991) Working Paper
    • Bell, T.B.1    Szykowny, S.2    Willingham, J.J.3
  • 10
    • 0039975586 scopus 로고    scopus 로고
    • A decision aid for assessing the likelihood of fraudulent financial reporting [J]
    • Bell T.B., Carcello J.V. A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting [J]. Auditing: A Journal of Practice &Theory, 2000, 19(1):169-184.
    • (2000) Auditing: A Journal of Practice &Theory , vol.19 , Issue.1 , pp. 169-184
    • Bell, T.B.1    Carcello, J.V.2
  • 11
    • 17144411479 scopus 로고
    • Analysts' forecast as an exogenous risk indicator in analytical auditing
    • Calderon, T. G., and B. P. Green. 1994. Analysts' forecast as an exogenous risk indicator in analytical auditing. Advances in Accounting 12: 281-300.
    • (1994) Advances in Accounting , vol.12 , pp. 281-300
    • Calderon, T.G.1    Green, B.P.2
  • 12
    • 0032220833 scopus 로고    scopus 로고
    • Fraudulently misstated financial statements and insider trading: An empirical analysis [J]
    • Summers S.L., Sweeney J.T., Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis [J].The Accounting Review, 1998, 73(1):131-146.
    • (1998) The Accounting Review , vol.73 , Issue.1 , pp. 131-146
    • Summers, S.L.1    Sweeney, J.T.2
  • 13
    • 0002873985 scopus 로고
    • Using financial statement data to identify factors associated with fraudulent financial reporting [J]
    • Persons O.S. Using Financial Statement Data to Identify Factors Associated with Fraudulent Financial Reporting [J].Journal of Applied Business Research, 1995, 11(3):38-46.
    • (1995) Journal of Applied Business Research , vol.11 , Issue.3 , pp. 38-46
    • Persons, O.S.1
  • 14
    • 84986016981 scopus 로고    scopus 로고
    • Detecting false financial statements using published data: Some evidence from Greece [J]
    • Charalambos T. Spathis. Detecting False Financial Statements using Published Data: Some Evidence from Greece [J].Managerial Auditing Journal, 2002, 17(4):179-191.
    • (2002) Managerial Auditing Journal , vol.17 , Issue.4 , pp. 179-191
    • Spathis, C.T.1
  • 15
    • 0033236338 scopus 로고    scopus 로고
    • Incentives and penalties related to earnings overstatements that violate GAAP [J]
    • Beneish M D. Incentives and Penalties Related to Earnings Overstatements That Violate GAAP [J].The Accounting Review, 1999, 74(4):425-457.
    • (1999) The Accounting Review , vol.74 , Issue.4 , pp. 425-457
    • Beneish, M.D.1
  • 17
    • 0030305316 scopus 로고    scopus 로고
    • An empirical analysis of the relation between the board of director composition and financial statement fraud [J]
    • Beasley M S.An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud [J].The Accounting Review, 1996, 71(4):443-465.
    • (1996) The Accounting Review , vol.71 , Issue.4 , pp. 443-465
    • Beasley, M.S.1
  • 19
    • 0005991397 scopus 로고    scopus 로고
    • Fraudulent financial reporting: Consideration of industry traits and corporate governance mechanisms [J]
    • Beasley M S, Carcello J.V., Hermanson D.R.et al. Fraudulent Financial Reporting: Consideration of Industry Traits and Corporate Governance Mechanisms [J].Accounting Horizons, 2000, 14(4):441-454.
    • (2000) Accounting Horizons , vol.14 , Issue.4 , pp. 441-454
    • Beasley, M.S.1    Carcello, J.V.2    Hermanson, D.R.3
  • 20
    • 34548168473 scopus 로고    scopus 로고
    • Empirical Study on the relationship between Company governance and accounting information quality [J]
    • LIguo Liu, Ying Du. Empirical Study on the relationship between Company governance and accounting information quality [J]. Accounting Study 2003,(2):28-36.
    • (2003) Accounting Study , Issue.2 , pp. 28-36
    • Liu, L.1    Du, Y.2
  • 22
    • 84986149626 scopus 로고    scopus 로고
    • A fuzzy neural networks for assessing the risk of fraudulent financial reporting [J]
    • Lin J W, Hwang M I, Becker J D. A Fuzzy Neural Networks for Assessing the Risk of Fraudulent Financial Reporting [J].Managerial Auditing Journal, 2003, 18(8):657-665.
    • (2003) Managerial Auditing Journal , vol.18 , Issue.8 , pp. 657-665
    • Lin, J.W.1    Hwang, M.I.2    Becker, J.D.3
  • 23
    • 33751432287 scopus 로고    scopus 로고
    • Data mining techniques for the detection of fraudulent financial statements [J]
    • Kirkos E, Spathis C, Manolopoulos Y. Data Mining Techniques for the Detection of Fraudulent Financial Statements [J].Expert Systems with Applications, 2007, 32:995-1003.
    • (2007) Expert Systems with Applications , vol.32 , pp. 995-1003
    • Kirkos, E.1    Spathis, C.2    Manolopoulos, Y.3
  • 24
    • 0000447262 scopus 로고    scopus 로고
    • A generalized qualitative-response model and the analysis of management fraud
    • Hansen, J.V., J.B. McDonald, W.F.Messier, Jr., and T.B.Bell , A generalized qualitative-response model and the analysis of management fraud,1996,Management Science, 42:1022-1032.
    • (1996) Management Science , vol.42 , pp. 1022-1032
    • Hansen, J.V.1    McDonald, J.B.2    Messier Jr., W.F.3    Bell, T.B.4
  • 25
    • 0031232095 scopus 로고    scopus 로고
    • Detecting GAAP violation: Implications for assessing earnings management among firms with extreme financial performance [J]
    • Beneish M.D. Detecting GAAP Violation: Implications for Assessing Earnings Management among Firms with Extreme Financial Performance [J].Journal of Accounting and Public Policy, 1997, 16:271-309.
    • (1997) Journal of Accounting and Public Policy , vol.16 , pp. 271-309
    • Beneish, M.D.1
  • 26
  • 27
    • 77955806029 scopus 로고    scopus 로고
    • Empirical study on detecting financial statements fraud-based on empirical data of public companies. [J]
    • Guoxin Chen, Zhanjia lv, Feng He. Empirical Study on detecting financial statements Fraud-based on empirical data of public companies. [J]Auditing Study, 2007(3).
    • (2007) Auditing Study , Issue.3
    • Chen, G.1    Lv, Z.2    He, F.3


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