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Volumn 2336, Issue , 2002, Pages 535-548

Enhancing effectiveness of Outlier detections for low Density Patterns

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; CRIME; INTRUSION DETECTION; STATISTICS;

EID: 84945281435     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47887-6_53     Document Type: Conference Paper
Times cited : (504)

References (16)
  • 4
    • 84899149437 scopus 로고    scopus 로고
    • A Fast Computer Intrusion Detection Algorithm based on Hypothesis Testing of Command Transition Probabilities
    • W. Du Mouchel, M. Schonlau: ”A Fast Computer Intrusion Detection Algorithm based on Hypothesis Testing of Command Transition Probabilities”, Proc.of 4th Intl.Conf. On Knowledge Discovery and Data Mining, 1998, pp. 189-193.
    • (1998) Proc.Of 4Th Intl.Conf. On Knowledge Discovery and Data Mining , pp. 189-193
    • Du Mouchel, W.1    Schonlau, M.2
  • 6
  • 10
    • 0003136237 scopus 로고
    • J. HanEfficient and Effective Clustering Methods for Spatial Data Mining
    • R. Ng, J. Han: ”Efficient and Effective Clustering Methods for Spatial Data Mining”, Proc. of 20th Intl. Conf. On Very Large Data Bases, 1994, pp 144-155.
    • (1994) Proc. Of 20Th Intl. Conf. On Very Large Data Bases , pp. 144-155
    • Ng, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.