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Volumn 11, Issue , 2011, Pages 69-84

Cluster analysis for anomaly detection in accounting data: An audit approach

Author keywords

Anomaly detection; Cluster analysis; Continuous auditing; Insurance industry

Indexed keywords


EID: 80053152751     PISSN: 15778517     EISSN: None     Source Type: Journal    
DOI: 10.4192/1577-8517-v11_4     Document Type: Article
Times cited : (83)

References (32)
  • 2
    • 0001040806 scopus 로고    scopus 로고
    • Using Kohonen's self-organizing feature map to uncover automobile bodily injury claims fraud
    • BROCKETT, P. L.; XIA X.; DERRIG R. A. (1998): "Using Kohonen's self-organizing feature map to uncover automobile bodily injury claims fraud", Journal of Risk and Insurance, vol. 65, n.2: 245-274.http://dx.doi.org/10.2307/253535
    • (1998) Journal of Risk and Insurance , vol.65 , Issue.2 , pp. 245-274
    • Brockett, P.L.1    Xia, X.2    Derrig, R.A.3
  • 3
    • 68049121093 scopus 로고    scopus 로고
    • Anomaly Detection: A Survey
    • CHANDOLA, V.; BANERJEE A.; KUMAR V. (2009): "Anomaly Detection: A Survey", ACM Computing Surveys, vol. 41, n. 3: 1-58.http://dx.doi.org/10.1145/1541880.1541882
    • (2009) ACM Computing Surveys , vol.41 , Issue.3 , pp. 1-58
    • Chandola, V.1    Banerjee, A.2    Kumar, V.3
  • 6
    • 27644499532 scopus 로고    scopus 로고
    • Applying Digital Analysis Using Bedford's Law to Detect Fraud: The Dangers of Type I Errors
    • CLEARY, B.; THIBODEAU J. C. (2005): "Applying Digital Analysis Using Bedford's Law to Detect Fraud: The Dangers of Type I Errors", Auditing: A Journal of Practice and Theory, vol.24, n.1: 77-81.
    • (2005) Auditing: A Journal of Practice and Theory , vol.24 , Issue.1 , pp. 77-81
    • Cleary, B.1    Thibodeau, J.C.2
  • 9
    • 62949154974 scopus 로고    scopus 로고
    • Cluster-based Outlier detection
    • DUAN, L.; XU, L.; LIU Y.; LEE J. (2009): "Cluster-based Outlier detection", Annals of Operational Research, vol. 168: 151-168. http://dx.doi.org/10.1007/s10479-008-0371-9
    • (2009) Annals of Operational Research , vol.168 , pp. 151-168
    • Duan, L.1    Xu, L.2    Liu, Y.3    Lee, J.4
  • 10
    • 40349086675 scopus 로고    scopus 로고
    • Finding Topics in collections of documents: A shared nearest neighbor approach
    • ERTOZ, L.; STEINBACH, M.; KUMAR V. (2003): "Finding Topics in collections of documents: A shared nearest neighbor approach", Clustering and Information Retrieval: 83-104.
    • (2003) Clustering and Information Retrieval , pp. 83-104
    • Ertoz, L.1    Steinbach, M.2    Kumar, V.3
  • 14
    • 17144412609 scopus 로고    scopus 로고
    • Assessing the Risk of Management Fraud through Neural Network Technology
    • GREEN, B.; CHOI, J. (1997): "Assessing the Risk of Management Fraud through Neural Network Technology", Auditing: A Journal of Practices and Theory, vol. 16, n.1: 14-28.
    • (1997) Auditing: A Journal of Practices and Theory , vol.16 , Issue.1 , pp. 14-28
    • Green, B.1    Choi, J.2
  • 15
    • 0034228041 scopus 로고    scopus 로고
    • ROCK, A robust clustering algorithm for categorical attributes
    • GUHA, S.; RASTOGI, R.; SHIM K. (2000): "ROCK, A robust clustering algorithm for categorical attributes", Information Systems, vol. 25, n.5, 345-366. http://dx.doi.org/10.1016/S0306-4379(00)00022-3
    • (2000) Information Systems , vol.25 , Issue.5 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 17
    • 0037410488 scopus 로고    scopus 로고
    • Discovering cluster-based local outliers
    • HE, Z.; XU, X.; DENG S. (2003): "Discovering cluster-based local outliers", Pattern Recognition Letters, vol. 24, n. 9-10: 1641-1650. http://dx.doi.org/10.1016/S0167-8655(03)00003-5
    • (2003) Pattern Recognition Letters , vol.24 , Issue.9-10 , pp. 1641-1650
    • He, Z.1    Xu, X.2    Deng, S.3
  • 18
    • 0003675178 scopus 로고
    • Multivariate Statistical Analysis: A Conceptual Introduction
    • KACHIGAN, S. K. (1991): "Multivariate Statistical Analysis: a Conceptual Introduction", Radius Press. New York.
    • (1991) Radius Press. New York
    • Kachigan, S.K.1
  • 20
    • 2442537609 scopus 로고    scopus 로고
    • Nsom: A Real-Time Network-Based Intrusion Detection using Self-Organizing Maps
    • University of California, Davis
    • LABIB, K.; VEMURI, R. (2002): "Nsom: A Real-Time Network-Based Intrusion Detection using Self-Organizing Maps", Technical Report, Department of Applied Science, University of California, Davis.
    • (2002) Technical Report, Department of Applied Science
    • Labib, K.1    Vemuri, R.2
  • 21
    • 84986149626 scopus 로고    scopus 로고
    • A Fuzzy Neural Network for Assessing the Risk of Fraudulent Financial Reporting
    • LIN, J. W.; HWANG, M. I.; BECKER J. D. (2003): "A Fuzzy Neural Network for Assessing the Risk of Fraudulent Financial Reporting", Managerial Auditing Journal, vol. 18, n.8: 657-665. http://dx.doi.org/10.1108/02686900310495151
    • (2003) Managerial Auditing Journal , vol.18 , Issue.8 , pp. 657-665
    • Lin, J.W.1    Hwang, M.I.2    Becker, J.D.3
  • 26
    • 35048823911 scopus 로고    scopus 로고
    • Cd-trees: An efficient index structure for outlier detection
    • SUN, H.; BAO, Y.; ZHAO, F.; YU, G.; WANG, D. (2004): "Cd-trees: An efficient index structure for outlier detection", Lecture Notes in Computer Science, vol. 3129: 600-609. http://dx.doi.org/10.1007/978-3-540-27772-9_60
    • (2004) Lecture Notes In Computer Science , vol.3129 , pp. 600-609
    • Sun, H.1    Bao, Y.2    Zhao, F.3    Yu, G.4    Wang, D.5
  • 32
    • 85132247975 scopus 로고    scopus 로고
    • Findout: Finding outliers in very large datasets
    • YU, D.; SHEIKHOLESLAMI, G.; ZHANG, A. (2002): "Findout: finding outliers in very large datasets", Knowledge and Information Systems, vol.4, n.4: 387-412. http://dx.doi.org/10.1007/s101150200013
    • (2002) Knowledge and Information Systems , vol.4 , Issue.4 , pp. 387-412
    • Yu, D.1    Sheikholeslami, G.2    Zhang, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.