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Volumn , Issue , 2008, Pages

Anomaly detection by combining decision trees and parametric densities

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; PATTERN RECOGNITION; STATISTICS; TREES (MATHEMATICS);

EID: 77957965645     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761796     Document Type: Conference Paper
Times cited : (29)

References (12)
  • 4
    • 0142095474 scopus 로고    scopus 로고
    • Using artificial anomalies to detect unknown and known network intrusions
    • W. Fan, M. Miller, S. J. Stolfo, W. Lee, and P. K. Chan. Using artificial anomalies to detect unknown and known network intrusions. In ICDM, 2001.
    • (2001) ICDM
    • Fan, W.1    Miller, M.2    Stolfo, S.J.3    Lee, W.4    Chan, P.K.5
  • 5
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • V. Hodge and J. Austin. A survey of outlier detection methodologies. Artif. Intell. Rev., 22(2), 2004.
    • (2004) Artif. Intell. Rev. , vol.22 , Issue.2
    • Hodge, V.1    Austin, J.2
  • 7
    • 32344440279 scopus 로고    scopus 로고
    • Feature bagging for outlier detection
    • ACM
    • A. Lazarevic and V. Kumar. Feature bagging for outlier detection. In KDD. ACM, 2005.
    • (2005) KDD
    • Lazarevic, A.1    Kumar, V.2
  • 8
    • 0142063407 scopus 로고    scopus 로고
    • Novelty detection: A review- Part 1: Statistical approaches
    • M. Markou and S. Singh. Novelty detection: A review - part 1: Statistical approaches. Signal Processing, 83(12), 2003.
    • (2003) Signal Processing , vol.83 , Issue.12
    • Markou, M.1    Singh, S.2
  • 9
    • 0142126712 scopus 로고    scopus 로고
    • Novelty detection: A review- Part 2: Neural network based approaches
    • M. Markou and S. Singh. Novelty detection: A review - part 2: Neural network based approaches. Signal Processing, 83(12), 2003.
    • (2003) Signal Processing , vol.83 , Issue.12
    • Markou, M.1    Singh, S.2
  • 11
    • 33646394041 scopus 로고    scopus 로고
    • Unsupervised discretization using tree-based density estimation
    • volume 3721 of Lecture Notes in Computer Science. Springer
    • G. Schmidberger and E. Frank. Unsupervised discretization using tree-based density estimation. In PKDD, volume 3721 of Lecture Notes in Computer Science. Springer, 2005.
    • (2005) PKDD
    • Schmidberger, G.1    Frank, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.