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Volumn 15, Issue 8, 2001, Pages 747-760

Improving the accuracy of decision tree induction by feature preselection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DECISION THEORY; FEATURE EXTRACTION; LEARNING ALGORITHMS; PATTERN RECOGNITION SYSTEMS;

EID: 0242385673     PISSN: 08839514     EISSN: None     Source Type: Journal    
DOI: 10.1080/088395101317018582     Document Type: Article
Times cited : (31)

References (17)
  • 1
    • 0028496468 scopus 로고
    • Learning Boolean concepts in the presence of many irrelevant features
    • Almuallim, H., and T. G. Diettrich. 1994. Learning Boolean concepts in the presence of many irrelevant features. Artificial Intelligence 9(1-2):279-305.
    • (1994) Artificial Intelligence , vol.9 , Issue.1-2 , pp. 279-305
    • Almuallim, H.1    Diettrich, T.G.2
  • 2
    • 0017368046 scopus 로고
    • On the possible ordering on the measurement selection problem
    • Cover, T. M. 1977. On the possible ordering on the measurement selection problem. IEEE Transactions SMC-7(9):657-661.
    • (1977) IEEE Transactions , vol.7 SMC , Issue.9 , pp. 657-661
    • Cover, T.M.1
  • 5
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Hughes, G. F. 1968. On the mean accuracy of statistical pattern recognizers. IEEE Transactions, IT-14(a):55-63.
    • (1968) IEEE Transactions , vol.14 IT , Issue.A , pp. 55-63
    • Hughes, G.F.1
  • 6
    • 22844454203 scopus 로고    scopus 로고
    • A comparison between neural networks and decision trees
    • eds. P. Perner, and M. Petrou. New York: Springer-Verlag
    • Jacobsen, C., U. Zscherpel, and P. Perner. 1999. A comparison between neural networks and decision trees. In Machine Learning and Data Mining in Pattern Recognition, eds. P. Perner, and M. Petrou. New York: Springer-Verlag, 144-158.
    • (1999) Machine Learning and Data Mining in Pattern Recognition , pp. 144-158
    • Jacobsen, C.1    Zscherpel, U.2    Perner, P.3
  • 7
  • 9
    • 0002959696 scopus 로고    scopus 로고
    • The wrapper approach
    • eds. H. Lui and H. Matoda. Norwell, MA: Kluwer Academic Publishers
    • Kohavi, R., and G. H. John. 1998. The wrapper approach. In Feature Extraction Construction and Selection, eds. H. Lui and H. Matoda. Norwell, MA: Kluwer Academic Publishers, 30-47.
    • (1998) Feature Extraction Construction and Selection , pp. 30-47
    • Kohavi, R.1    John, G.H.2
  • 12
    • 0025798330 scopus 로고
    • A distance-based attribute selection measure for decision tree induction
    • Lopez de Mantaras, R. 1991. A distance-based attribute selection measure for decision tree induction. Machine Learning 6:81-92.
    • (1991) Machine Learning , vol.6 , pp. 81-92
    • Lopez De Mantaras, R.1
  • 17
    • 0028443213 scopus 로고
    • Bias in the information-based measure in decision tree induction
    • White, A. P. and W. Z. Lui. 1994. Bias in the information-based measure in decision tree induction. Machine Learning 15:321-329.
    • (1994) Machine Learning , vol.15 , pp. 321-329
    • White, A.P.1    Lui, W.Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.