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Volumn 4, Issue , 2009, Pages 2302-2307

Importance of scaling in unsupervised distance-based anomaly detection

Author keywords

A priori information; Anomaly detection; Scaling

Indexed keywords

ANOMALOUS PHENOMENA; ANOMALY DETECTION; DISTANCE METRICS; DISTANCE-BASED; DISTANCE-BASED METHODS; MOBILE TELECOMMUNICATION NETWORKS; NETWORK MONITORING; PERFORMANCE DATA; PRIORI INFORMATION; PRIORI KNOWLEDGE; RADIO INTERFACE; SCALING; SIMPLE METHOD; UNSUPERVISED ANOMALY DETECTION;

EID: 84871589720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (18)
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    • Kumpulainen, P.1    Hätönen, K.2
  • 15
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    • Birmingham University, New York, June 23-25
    • K. Hätönen, S. Laine and T. Similä, "Using the LogSig-function to integrate expert knowledge to Self-Organising Map (SOM) based analysis", IEEE International Workshop on Soft Computing in Industrial Applications, Birmingham University, New York, June 23-25, 2003.
    • (2003) IEEE International Workshop on Soft Computing in Industrial Applications
    • Hätönen, K.1    Laine, S.2    Similä, T.3
  • 16
    • 21844501258 scopus 로고
    • Weighting and selection of variables for cluster analysis
    • R. Gnanadesikan, J. Kettenring, S. Tsao, "Weighting and selection of variables for cluster analysis", Journal of Classification. Vol. 12, 1, 113-136, 1995.
    • (1995) Journal of Classification , vol.12 , Issue.1 , pp. 113-136
    • Gnanadesikan, R.1    Kettenring, J.2    Tsao, S.3
  • 17
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    • A study of standardization of variables in cluster analysis
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    • Milligan, G.1    Cooper, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.