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Volumn 162, Issue 1-3, 2006, Pages 33-37

The use of self-organising maps for anomalous behaviour detection in a digital investigation

Author keywords

Anomalous behaviours; Digital forensics; Digital investigation; Self organising map; Visualisation

Indexed keywords

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER ANALYSIS; COMPUTER SYSTEM; CRIME; DATA ANALYSIS; DATA EXTRACTION; DIGITAL FORENSICS; EMPLOYEE; FORENSIC SCIENCE; HUMAN; INTERNET; LEGAL EVIDENCE; PRIORITY JOURNAL; SELF ORGANIZING MAP;

EID: 33748579887     PISSN: 03790738     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.forsciint.2006.06.046     Document Type: Article
Times cited : (36)

References (16)
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  • 10
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    • The self-organising map
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    • J. Vesanto, Data exploration process based on the self-organising map, Doctoral Thesis, Acta Polytechnica Scandinavica, Mathematics and Computing Series 15, Helsinki University of Technology, 2002.
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    • SOM-based data visualisation methods
    • Vesanto J. SOM-based data visualisation methods. Intell. Data Anal. 3 2 (1999) 111-126
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    • Vesanto, J.1
  • 16
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    • B.K.L. Fei, J.H.P. Eloff, M.S. Olivier, H.M. Tillwick, H.S. Venter, Using self-organising maps for anomalous behaviour detection in a computer forensic investigation, in: Proceedings of the Fifth Annual Information Security South Africa Conference.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.