메뉴 건너뛰기




Volumn 43, Issue 8, 2010, Pages 2725-2731

A new node splitting measure for decision tree construction

Author keywords

Decision trees; Gain Ratio; Gini Index; Node splitting measure

Indexed keywords

CLASS-BASED; CLASSIFICATION ACCURACY; DATA SETS; DECISION TREE CONSTRUCTION; DECISION TREE INDUCTION; GAIN RATIO; GINI INDEX; SPLIT MEASURE;

EID: 77951253366     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.02.025     Document Type: Article
Times cited : (77)

References (22)
  • 1
    • 0030190032 scopus 로고    scopus 로고
    • Some properties of splitting criteria
    • Breiman L. Some properties of splitting criteria. Machine Learning 24 (1996) 41-47
    • (1996) Machine Learning , vol.24 , pp. 41-47
    • Breiman, L.1
  • 3
    • 3543091631 scopus 로고    scopus 로고
    • On the qualitative behavior of impurity based splitting rules I: The minima-free property
    • Technical Report, Purdue University
    • C. Codrington, C.E. Brodley, On the qualitative behavior of impurity based splitting rules I: the minima-free property, Technical Report, Purdue University, 1997.
    • (1997)
    • Codrington, C.1    Brodley, C.E.2
  • 6
    • 77951259179 scopus 로고    scopus 로고
    • General and efficient multisplitting of numerical attributes
    • Elomma T., and Rousu J. General and efficient multisplitting of numerical attributes. Machine Learning 1 (1999) 1-49
    • (1999) Machine Learning , vol.1 , pp. 1-49
    • Elomma, T.1    Rousu, J.2
  • 7
    • 77951253626 scopus 로고    scopus 로고
    • On splitting properties of common attribute evaluation functions
    • Report C-2000-1, Department of Computer Science, University of Helsinki
    • T. Elomma, J. Rousu, On splitting properties of common attribute evaluation functions, Report C-2000-1, Department of Computer Science, University of Helsinki, 2000.
    • (2000)
    • Elomma, T.1    Rousu, J.2
  • 8
    • 0003024008 scopus 로고
    • On the handling of continuous-valued attributes in decision tree generation
    • Fayyad U., and Irani K.B. On the handling of continuous-valued attributes in decision tree generation. Machine Learning 8 (1992) 87-102
    • (1992) Machine Learning , vol.8 , pp. 87-102
    • Fayyad, U.1    Irani, K.B.2
  • 10
    • 84944811700 scopus 로고
    • The use of ranks to avoid the assumption of normality implicit in the analyis of variance
    • Friedman M. The use of ranks to avoid the assumption of normality implicit in the analyis of variance. Journal of the American Statistical Association 32 (1937) 675-701
    • (1937) Journal of the American Statistical Association , vol.32 , pp. 675-701
    • Friedman, M.1
  • 11
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • Friedman M. A comparison of alternative tests of significance for the problem of m rankings. Annals of Mathematical Statistics 11 (1940) 86-92
    • (1940) Annals of Mathematical Statistics , vol.11 , pp. 86-92
    • Friedman, M.1
  • 12
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demsar J. Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7 (2006) 1-30
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 13
    • 0031360754 scopus 로고    scopus 로고
    • A new criterion in selection and discretization of attributes for the generation of decision trees
    • Jun B.H., Kim C.S., and Kim J. A new criterion in selection and discretization of attributes for the generation of decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 12 (1997) 1371-1375
    • (1997) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.19 , Issue.12 , pp. 1371-1375
    • Jun, B.H.1    Kim, C.S.2    Kim, J.3
  • 16
    • 0036859049 scopus 로고    scopus 로고
    • Algorithms for finding attribute value group for binary segmentation of categorical databases
    • Morimoto Y. Algorithms for finding attribute value group for binary segmentation of categorical databases. IEEE Transactions on Knowledge and Data Engineering 14 6 (2002) 1269-1279
    • (2002) IEEE Transactions on Knowledge and Data Engineering , vol.14 , Issue.6 , pp. 1269-1279
    • Morimoto, Y.1
  • 18
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan J. Induction of decision trees. Machine Learning (1986) 81-106
    • (1986) Machine Learning , pp. 81-106
    • Quinlan, J.1
  • 19
    • 8344282137 scopus 로고
    • C4.5: Programs for Machine Learning
    • Quinlan J. C4.5: Programs for Machine Learning. Springer 16 3 (1993) 235-240
    • (1993) Springer , vol.16 , Issue.3 , pp. 235-240
    • Quinlan, J.1
  • 20
    • 0029678894 scopus 로고    scopus 로고
    • Improved use of continuous attributes in c4.5
    • Quinlan J. Improved use of continuous attributes in c4.5. Journal of Artificial Intelligence 4 (1996) 77-90
    • (1996) Journal of Artificial Intelligence , vol.4 , pp. 77-90
    • Quinlan, J.1
  • 21
    • 0001750957 scopus 로고
    • Approximations of the critical region of the Friedman statistic
    • Iman R.L., and Davenport J.M. Approximations of the critical region of the Friedman statistic. Communications in Statistics (1980) 571-595
    • (1980) Communications in Statistics , pp. 571-595
    • Iman, R.L.1    Davenport, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.