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Volumn 2118, Issue , 2001, Pages 317-328

Modelling classification performance for large data sets: An empirical study

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CURVE FITTING; DATA MINING; DECISION TREES; INFORMATION MANAGEMENT; LEARNING SYSTEMS; TREES (MATHEMATICS);

EID: 84974711038     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47714-4_29     Document Type: Conference Paper
Times cited : (39)

References (17)
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    • 0039178101 scopus 로고    scopus 로고
    • Exponential or polynomial learning curves?|-case-based studies
    • H. Gu and H. Takahashi. Exponential or polynomial learning curves?|-case-based studies. Neural Computation, 12(4):795-809, 2000
    • (2000) Neural Computation , vol.12 , Issue.4 , pp. 795-809
    • Gu, H.1    Takahashi, H.2
  • 10
    • 3943092795 scopus 로고    scopus 로고
    • A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
    • T. Lim, W. Loh, and Y. Shih. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, 1999
    • (1999) Machine Learning
    • Lim, T.1    Loh, W.2    Shih, Y.3
  • 14
    • 84943172527 scopus 로고    scopus 로고
    • A survey of methods for scaling up inductive algorithms
    • F. Provost and V. Kolluri. A survey of methods for scaling up inductive algorithms. Machine Learning, pages 1-42, 1999
    • (1999) Machine Learning , pp. 1-42
    • Provost, F.1    Kolluri, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.