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Volumn 4013 LNAI, Issue , 2006, Pages 347-358

Adaptive fraud detection using benford's law

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; DATA ACQUISITION; LEARNING SYSTEMS; PROBABILITY; REINFORCEMENT;

EID: 33746060889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11766247_30     Document Type: Conference Paper
Times cited : (21)

References (12)
  • 1
    • 33646387709 scopus 로고    scopus 로고
    • Detecting fraud in health insurance data: Learning to model incomplete Benford's Law distributions
    • Porto, Portugal. Springer
    • F. Lu and J. E. Boritz. Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford's Law Distributions. In 16th European Conference on Machine Learning, pages 633-640, Porto, Portugal, 2005. Springer.
    • (2005) 16th European Conference on Machine Learning , pp. 633-640
    • Lu, F.1    Boritz, J.E.2
  • 2
    • 0042421807 scopus 로고    scopus 로고
    • Statistical Fraud Detection: A Review
    • Richard J. Bolton and David J. Hand. Statistical Fraud Detection: A Review. Statistical Science, 17(3):235-255, 1999.
    • (1999) Statistical Science , vol.17 , Issue.3 , pp. 235-255
    • Bolton, R.J.1    Hand, D.J.2
  • 4
    • 38049135514 scopus 로고
    • Can Benford's Law be used in forensic accounting?
    • June:7-8
    • Mark J. Nigrini. Can Benford's Law Be Used In Forensic Accounting? The Balance Sheet, June:7-8, 1993.
    • (1993) The Balance Sheet
    • Nigrini, M.J.1
  • 5
    • 0000109243 scopus 로고
    • On the distribution of first significant digits
    • Roger S. Pinkham. On the Distribution of First Significant Digits. Annals of Mathematical Statistics, 32:1223-1230, 1961.
    • (1961) Annals of Mathematical Statistics , vol.32 , pp. 1223-1230
    • Pinkham, R.S.1
  • 6
    • 84972541029 scopus 로고    scopus 로고
    • A statistical derivation of the significant-digit Law
    • Theodore P. Hill. A Statistical Derivation of the Significant-Digit Law. Statistical Science, 4:354-363, 1996.
    • (1996) Statistical Science , vol.4 , pp. 354-363
    • Hill, T.P.1
  • 7
    • 0001368505 scopus 로고
    • Carslaw. Anomalies in income numbers: Evidence of goal oriented behaviour
    • Charles A.P.N. Carslaw. Anomalies in Income Numbers: Evidence of Goal Oriented Behaviour. The Accounting Review, 63:321-327, 1988.
    • (1988) The Accounting Review , vol.63 , pp. 321-327
    • Charles, A.P.N.1
  • 8
    • 33646435973 scopus 로고    scopus 로고
    • Fraud detection techniques
    • April: 17-20
    • Nita Crowder. Fraud Detection Techniques. Internal Auditor, April: 17-20, 1997.
    • (1997) Internal Auditor
    • Crowder, N.1
  • 10
    • 33847202724 scopus 로고
    • Learning to predict by the method of Temporal Differences
    • R. S. Sutton. Learning to predict by the method of Temporal Differences. In Machine Learning, volume 3, pages 9-44, 1988.
    • (1988) Machine Learning , vol.3 , pp. 9-44
    • Sutton, R.S.1
  • 11
    • 11244343921 scopus 로고    scopus 로고
    • Monte Carlo Matrix inversion policy evaluation
    • San Francisco. Morgan Kaufmann
    • F. Lu and D. Schuurmans. Monte Carlo Matrix Inversion Policy Evaluation. In UAI: Proceedings of the 19th Conference, pages 386-393, San Francisco, 2003. Morgan Kaufmann.
    • (2003) UAI: Proceedings of the 19th Conference , pp. 386-393
    • Lu, F.1    Schuurmans, D.2
  • 12
    • 17144397597 scopus 로고    scopus 로고
    • The use of Benford's Law as an aid in analytical procedures
    • Mark J. Nigrini and Linda J. Mittermaier. The Use of Benford's Law as an Aid in Analytical Procedures. In Auditing: A Journal of Practice and Theory, volume 16(2), pages 52-67, 1997.
    • (1997) Auditing: A Journal of Practice and Theory , vol.16 , Issue.2 , pp. 52-67
    • Nigrini, M.J.1    Mittermaier, L.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.