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Volumn 29, Issue 3, 2007, Pages 470-471

Kernel nearest neighbor rule and its application in intrusion detection

Author keywords

Instrusion detection; Kernel method; Nearest neighbor (NN) rule; Pattern recognition

Indexed keywords

CLASSIFICATION (OF INFORMATION); MAPPING; PATTERN RECOGNITION; THEOREM PROVING;

EID: 34248324478     PISSN: 1001506X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (7)
  • 4
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • NeuroCOLT: Report 19
    • Smola A, Schlkopf B. A tutorial on support vector regression[R]. NeuroCOLT: Report 19, 1998.
    • (1998)
    • Smola, A.1    Schlkopf, B.2
  • 5
    • 0002615660 scopus 로고    scopus 로고
    • Geometry and invariance in kernel based methods
    • Schlkopf B., Burges C. and Smola A. (ed.), Cambridge, MA: MIT Press
    • Burges C J C. Geometry and invariance in kernel based methods[C]//Schlkopf B, Burges C, Smola A Eds. Advance in Kernel Methods-Support Vector Learning. Cambridge, MA: MIT Press, 1999: 89-116.
    • (1999) Advance in Kernel Methods-Support Vector Learning , pp. 89-116
    • Burges, C.J.C.1
  • 6
    • 0004296379 scopus 로고    scopus 로고
    • Support vector machine-reference manual
    • Department of Computer Science, Royal Holloway University of London, Egham, UK: Technical Report CSD2TR29S203
    • Saunders C, Stitson M O, Weston J, et al. Support vector machine-reference manual[R]. Department of Computer Science, Royal Holloway University of London, Egham, UK: Technical Report CSD2TR29S203, 1998.
    • (1998)
    • Saunders, C.1    Stitson, M.O.2    Weston, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.