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Volumn , Issue , 2007, Pages 1541-1546

Investigating the performance of Naive- Bayes classifiers and K- nearest neighbor classifiers

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CLASSIFIERS; DECISION MAKING; DECISION THEORY; INFORMATION TECHNOLOGY; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBABILITY; STATISTICAL METHODS; TECHNOLOGY;

EID: 49049109625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIT.2007.4420473     Document Type: Conference Paper
Times cited : (162)

References (11)
  • 1
    • 49049087819 scopus 로고    scopus 로고
    • ftp://ftp.ics.uci.edu/pub/machine-learning-databases/credit-screening.
  • 8
    • 3843106208 scopus 로고    scopus 로고
    • An empirical, study of the naive bayes classifier
    • I. Rish. An empirical, study of the naive bayes classifier. Proceedings of IJCAI-01, 2001.
    • (2001) Proceedings of IJCAI-01
    • Rish, I.1
  • 10
    • 0028484121 scopus 로고
    • Comparison of two measurement results using the bayesian theory of measurement uncertainty
    • K. Weise and W. Woger. Comparison of two measurement results using the bayesian theory of measurement uncertainty. Measurement Science and Technology, 5:879-882, 1994.
    • (1994) Measurement Science and Technology , vol.5 , pp. 879-882
    • Weise, K.1    Woger, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.