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Volumn 18, Issue 4, 2008, Pages 635-645

Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizer

Author keywords

Artificial immune systems; BUPA liver disorders; Distance measures; Hybrid feature vectors; Statlog heart disease

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL GEOMETRY; DATA REDUCTION; PROBLEM SOLVING; REAL TIME SYSTEMS; VECTORS;

EID: 44449104946     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2007.08.004     Document Type: Article
Times cited : (15)

References (9)
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    • Revisiting the foundations of Artificial Immune Systems: A problem oriented perspective
    • Freitas A., and Timmis J. Revisiting the foundations of Artificial Immune Systems: A problem oriented perspective. Lect. Notes Comp. Sci. 2787 (2003) 229-241
    • (2003) Lect. Notes Comp. Sci. , vol.2787 , pp. 229-241
    • Freitas, A.1    Timmis, J.2
  • 2
    • 4344594693 scopus 로고    scopus 로고
    • J.S. Hamaker, L. Boggess, Non-Euclidean distance measures in AIRS: An artificial immune classification system, in: Proceedings of the 2004 Congress on Evolutionary Computing, 2004
    • J.S. Hamaker, L. Boggess, Non-Euclidean distance measures in AIRS: An artificial immune classification system, in: Proceedings of the 2004 Congress on Evolutionary Computing, 2004
  • 4
    • 44449141656 scopus 로고    scopus 로고
    • C.L. Blake, C.J. Merz, UJI reporsitory of machine learning databases, 1996, http://www.ics.uci.edu./~mlearn/MLReporsitory.html
    • C.L. Blake, C.J. Merz, UJI reporsitory of machine learning databases, 1996, http://www.ics.uci.edu./~mlearn/MLReporsitory.html
  • 7
    • 0018567632 scopus 로고
    • Theoretical studies of clonal selection: Minimal antibody repertoire size and reliability of self-nonself discrimination
    • Perelson A.S., and Oster G.F. Theoretical studies of clonal selection: Minimal antibody repertoire size and reliability of self-nonself discrimination. J. Theor. Biol. 81 (1979) 645-670
    • (1979) J. Theor. Biol. , vol.81 , pp. 645-670
    • Perelson, A.S.1    Oster, G.F.2
  • 8
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: A comparison of three data mining methods
    • Delen D., Walker G., and Kadam A. Predicting breast cancer survivability: A comparison of three data mining methods. Artif. Intell. Med. 34 2 (2005) 113-127
    • (2005) Artif. Intell. Med. , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.