메뉴 건너뛰기




Volumn 52, Issue 1, 2010, Pages 34-38

Fraud detection in telecommunications and banking: Discussion of Becker, Volinsky, and Wilks (2010) and Sudjianto et al. (2010)

Author keywords

Anomaly detection; Credit cards; Data mining; Streaming data; Transactions

Indexed keywords

ANOMALY DETECTION; CREDIT CARDS; FRAUD DETECTION; RETAIL BANKING; STREAMING DATA;

EID: 77949408056     PISSN: 00401706     EISSN: None     Source Type: Journal    
DOI: 10.1198/TECH.2009.09115     Document Type: Article
Times cited : (9)

References (22)
  • 1
    • 77949360833 scopus 로고    scopus 로고
    • Fraud detection in telecommunications: A historical perspective and lessons learned
    • 34, 36, 37
    • Becker, R. A., Volinsky, C., and Wilks, A. R. (2010), "Fraud Detection in Telecommunications: A Historical Perspective and Lessons Learned," Technometrics, 52, 20-33. [34, 36, 37].
    • (2010) Technometrics , vol.52 , pp. 20-33
    • Becker, R.A.1    Volinsky, C.2    Wilks, A.R.3
  • 2
    • 0041458680 scopus 로고    scopus 로고
    • Unsupervised profiling methods for fraud detection
    • 7, Edinburgh, U.K. September, 37
    • Bolton, R. J., and Hand, D. J. (2001), "Unsupervised Profiling Methods for Fraud Detection," in Conference on Credit Scoring and Credit Control, 7, Edinburgh, U.K., September, 5-7. [37].
    • (2001) Conference on Credit Scoring and Credit Control , pp. 5-7
    • Bolton, R.J.1    Hand, D.J.2
  • 3
    • 0042421807 scopus 로고    scopus 로고
    • Statistical fraud detection: A review
    • 37
    • (2002)"Statistical Fraud Detection: A Review," Statistical Science, 17, 235-255. [37].
    • (2002) Statistical Science , vol.17 , pp. 235-255
  • 4
    • 77949417260 scopus 로고    scopus 로고
    • Predicting the amount individuals withdraw at cash machines
    • to appear, 37
    • Brentnall, A., Crowder, M. J., and Hand, D. J. (2009a), "Predicting the Amount Individuals Withdraw at Cash Machines," Statistical Modelling, to appear. [37].
    • (2009) Statistical Modelling
    • Brentnall, A.1    Crowder, M.J.2    Hand, D.J.3
  • 5
    • 77949421034 scopus 로고    scopus 로고
    • Approximate repeated-measure shrinkage
    • Dept. of Mathematics, London, 37
    • (2009b), "Approximate Repeated-Measure Shrinkage," technical report, Imperial College, Dept. of Mathematics, London. [37].
    • (2009) Technical Report, Imperial College
  • 6
    • 33745886270 scopus 로고    scopus 로고
    • Classifier technology and the illusion of progress
    • (with discussion), 37
    • Hand, D. J. (2006), "Classifier Technology and the Illusion of Progress" (with discussion), Statistical Science, 21, 1-34. [37].
    • (2006) Statistical Science , vol.21 , pp. 1-34
    • Hand, D.J.1
  • 7
    • 33847359594 scopus 로고    scopus 로고
    • Deception and dishonesty with data: Fraud in science
    • 34
    • (2007)"Deception and Dishonesty With Data: Fraud in Science," Significance, 4 (1), 22-25. [34].
    • (2007) Significance , vol.4 , Issue.1 , pp. 22-25
  • 8
    • 77949394798 scopus 로고    scopus 로고
    • Estimating the Iceberg: How much fraud is there in the UK?
    • Available at, [35, 36
    • Hand, D. J., and Blunt, G. (2009), "Estimating the Iceberg: How Much Fraud Is There in the UK?" Journal of Financial Transformation, 25, 19-29. Available at http://www.capco.com/?q=content/journal-detail&sid=1094. [35, 36].
    • (2009) Journal of Financial Transformation , vol.25 , pp. 19-29
    • Hand, D.J.1    Blunt, G.2
  • 9
    • 77949363347 scopus 로고    scopus 로고
    • Overcoming selectivity bias in evaluating new fraud detection systems for revolving credit operations
    • Dept. of Mathematics, London. [35]
    • Hand, D. J., and Crowder, M. J. (2009), "Overcoming Selectivity Bias in Evaluating New Fraud Detection Systems for Revolving Credit Operations," technical report, Imperial College, Dept. of Mathematics, London. [35].
    • (2009) Technical Report, Imperial College
    • Hand, D.J.1    Crowder, M.J.2
  • 12
    • 84972541029 scopus 로고
    • A statistical derivation of the significant-digit law
    • 37
    • Hill, T. P. (1995), "A Statistical Derivation of the Significant-Digit Law," Statistical Science, 10, 354-363. [37].
    • (1995) Statistical Science , vol.10 , pp. 354-363
    • Hill, T.P.1
  • 13
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • 37
    • Hodge, V. J., and Austin, J. (2004), "A Survey of Outlier Detection Methodologies," Artificial Intelligence Review, 22, 85-126. [37].
    • (2004) Artificial Intelligence Review , vol.22 , pp. 85-126
    • Hodge, V.J.1    Austin, J.2
  • 16
    • 82155163583 scopus 로고    scopus 로고
    • Election forensics: Statistical interventions in election controversies
    • Chicago, August 30-September 2, 34
    • Mebane, W. R. Jr. (2007), "Election Forensics: Statistical Interventions in Election Controversies," in Annual Meeting of the American Political Science Association, Chicago, August 30-September 2. [34].
    • (2007) Annual Meeting of the American Political Science Association
    • Mebane Jr., W.R.1
  • 17
    • 0002802290 scopus 로고    scopus 로고
    • A taxpayer compliance application of Benford's Law
    • 37
    • Nigrini, M. J. (1996), "A Taxpayer Compliance Application of Benford's Law," Journal of the American Taxation Association, 18, 72-91. [37].
    • (1996) Journal of the American Taxation Association , vol.18 , pp. 72-91
    • Nigrini, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.