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Volumn , Issue , 2011, Pages 1517-1522

Utility-based fraud detection

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL DOMAIN; DATA ANALYSIS METHODS; FRAUD DETECTION; INSPECTION ACTIVITIES; INSPECTION COSTS; MULTI-STRATEGY LEARNING; REAL-WORLD TASK; UTILITY THEORY;

EID: 84881066607     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-255     Document Type: Conference Paper
Times cited : (11)

References (10)
  • 6
    • 0042421807 scopus 로고    scopus 로고
    • Statistical fraud detection: A review
    • Richard J. Bolton; David J. Hand. Statistical fraud detection: A review. Statistical Science, 17(3):235-255, 2002.
    • (2002) Statistical Science , vol.17 , Issue.3 , pp. 235-255
    • Bolton, R.J.1    Hand, D.J.2
  • 7
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Text classication from labeled and unlabeled documents using em. Machine Learning, 39:103-134, 2000. (Pubitemid 30594822)
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 103-134
    • Nigam, K.1    Mccallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 8
    • 33750951681 scopus 로고    scopus 로고
    • A comprehensive survey of data mining-based fraud detection research
    • submitted
    • C. Phua, V. Lee, K. Smith, and R. Gayler. A comprehensive survey of data mining-based fraud detection research. Artificial Intelligence Review, (submitted), 2005.
    • (2005) Artificial Intelligence Review
    • Phua, C.1    Lee, V.2    Smith, K.3    Gayler, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.