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Volumn 32, Issue 2, 2007, Pages 625-631

Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k-nn (nearest neighbour) based weighting preprocessing

Author keywords

AIRS; Artificial immune system; Expert systems; Heart disease; k nn based weighting preprocessing

Indexed keywords

DATA STRUCTURES; DATABASE SYSTEMS; DIAGNOSIS; EXPERT SYSTEMS; FUZZY CONTROL; IMMUNIZATION; LEARNING SYSTEMS; RESOURCE ALLOCATION;

EID: 33750457954     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.01.027     Document Type: Article
Times cited : (123)

References (13)
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    • Goodman, D. E., Boggess, L., & Watkins, A. (2003). An investigation into the source of power for AIRS, an artificial immune classification system. In Proceedings of the international joint conference on neural networks (IJCNN'03), Portland, Oregon, July (pp. 1678-1683).
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    • Marwah, G., & Boggess, L., (2002). Artificial immune systems for classification: Some issues. In Proceedings of the first international conference on artificial immune systems, University of Kent at Canterbury, England (pp. 149-153).
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    • Polat, K., Şahan, S., Kodaz, H., & Güneş, S. (2005). A new classification method to diagnosis heart disease: Supervised artificial immune system (AIRS). In Proceedings of the Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN).
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    • Şahan S., Kodaz H., Güneş S., and Polat K. A new classifier based on attribute weighted artificial immune system. Lecture notes in computer science vol. 3280 (2004) 11-20 ISSN 0302-9743
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  • 13
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    • Watkins, A. (2001). AIRS: A resource limited artificial immune classifier. Master thesis, Mississippi State University.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.