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Volumn , Issue , 2012, Pages 392-397

A comparative study of Reduced Error Pruning method in decision tree algorithms

Author keywords

Decision tree; Reduced Error Pruning; rules

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONTROL SYSTEMS; DATA MINING; DECISION TREES; ERRORS; MACHINE LEARNING;

EID: 84875981476     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSCE.2012.6487177     Document Type: Conference Paper
Times cited : (189)

References (29)
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    • 0006746938 scopus 로고    scopus 로고
    • Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington
    • L. A. Breslow, and D. W. Aha, "Simplifying Decision Trees: A Survey," Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, 1997.
    • (1997) Simplifying Decision Trees: A Survey
    • Breslow, L.A.1    Aha, D.W.2
  • 20
    • 84944611438 scopus 로고    scopus 로고
    • The top ten algorithms in data mining
    • CRC Press, United States of America
    • X. Wu, and V. Kumar, "The Top Ten Algorithms in Data Mining," Data Mining and Knowledge Discovery Series, CRC Press, United States of America, 2009.
    • (2009) Data Mining and Knowledge Discovery Series
    • Wu, X.1    Kumar, V.2
  • 25
    • 0029403698 scopus 로고
    • Induction of ripple-down rules applied to modeling large databases
    • B. R. Gaines and P. Compton, "Induction of Ripple-Down Rules Applied to Modeling Large Databases," J. Intell. Inf. Syst.. 5(3), pages 211-228, 1995.
    • (1995) J. Intell. Inf. Syst. , vol.5 , Issue.3 , pp. 211-228
    • Gaines, B.R.1    Compton, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.