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Volumn 4528 LNCS, Issue PART 2, 2007, Pages 287-296

An adaptive michigan approach PSO for nearest prototype classification

Author keywords

Classification; Data mining; Nearest neighbor; Particle swarm; Swarm intelligence

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; PARTICLE SWARM OPTIMIZATION (PSO); PROBLEM SOLVING;

EID: 38149030933     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73055-2_31     Document Type: Conference Paper
Times cited : (13)

References (9)
  • 1
    • 0036104537 scopus 로고    scopus 로고
    • Advances in instance selection for instance-based learning algorithms
    • Henry Brighton and Chris Mellish. Advances in instance selection for instance-based learning algorithms. Data mining and knowledge discovery, 6(2):153-172, 2002.
    • (2002) Data mining and knowledge discovery , vol.6 , Issue.2 , pp. 153-172
    • Brighton, H.1    Mellish, C.2
  • 2
    • 3142672346 scopus 로고    scopus 로고
    • Evolutionary design of nearest prototype classifiers
    • Fernando Fernández and Pedro Isasi. Evolutionary design of nearest prototype classifiers. Journal of Heuristics, 10(4):431-454, 2004.
    • (2004) Journal of Heuristics , vol.10 , Issue.4 , pp. 431-454
    • Fernández, F.1    Isasi, P.2
  • 5
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • Steward W. Wilson. Classifier fitness based on accuracy. Evolutionary Computation, 3(2):149-175, 1995.
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.W.1
  • 9
    • 21644481072 scopus 로고    scopus 로고
    • Binary particle swarm optimization in classification
    • Alejandro Cervantes, Pedro Isasi, and Inés Galván. Binary particle swarm optimization in classification. Neural Network World, 15(3):229-241, 2005.
    • (2005) Neural Network World , vol.15 , Issue.3 , pp. 229-241
    • Cervantes, A.1    Isasi, P.2    Galván, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.