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Volumn 1910, Issue , 2000, Pages 331-336

Induction of multivariate decision trees by using dipolar criteria

Author keywords

[No Author keywords available]

Indexed keywords

ARTS COMPUTING; BINARY TREES; DATA MINING; DECISION TREES;

EID: 84974695507     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_33     Document Type: Conference Paper
Times cited : (14)

References (14)
  • 2
    • 0026358549 scopus 로고
    • Design of piecewise linear classifiers from formal neurons by some basis exchange technique
    • Bobrowski, L.: Design of piecewise linear classifiers from formal neurons by some basis exchange technique. Pattern Recognition 24(9) (1991) 862-870
    • (1991) Pattern Recognition , vol.24 , Issue.9 , pp. 862-870
    • Bobrowski, L.1
  • 3
    • 9444249273 scopus 로고    scopus 로고
    • Piecewise-linear classifiers, formal neurons and separability of the learning sets
    • Bobrowski, L.: Piecewise-linear classifiers, formal neurons and separability of the learning sets, In: Proc. of 13th Int. Conf. on Pattern Recognition (1996) 224-228
    • (1996) Proc. of 13th Int. Conf. on Pattern Recognition , pp. 224-228
    • Bobrowski, L.1
  • 4
    • 84974666694 scopus 로고    scopus 로고
    • Data mining procedures related to the dipolar criterion function
    • Bobrowski, L.: Data mining procedures related to the dipolar criterion function, In: Applied Stochastic Models and Data Analysis (1999) 43-50.
    • (1999) Applied Stochastic Models and Data Analysis , pp. 43-50
    • Bobrowski, L.1
  • 6
    • 0001858087 scopus 로고
    • Multivariate decision trees
    • Brodley, C., Utgoff, P.: Multivariate decision trees. Mach. Learning 19 (1995) 45-77
    • (1995) Mach. Learning , vol.19 , pp. 45-77
    • Brodley, C.1    Utgoff, P.2
  • 7
    • 0030284572 scopus 로고    scopus 로고
    • Piecewise-linear classifiers using binary tree structure and genetic algorithm
    • Chai, B., Huang, T., Zhuang, X., Zhao, Y., Sklansky, J., Piecewise-linear classifiers using binary tree structure and genetic algorithm. Pattern Recognition 29(11) (1996) 1905-1917
    • (1996) Pattern Recognition , vol.29 , Issue.11 , pp. 1905-1917
    • Chai, B.1    Huang, T.2    Zhuang, X.3    Zhao, Y.4    Sklansky, J.5
  • 10
    • 0000661829 scopus 로고
    • An exploratory technique for investigating large quantities of catego- rical data
    • Kass, G. V.: An exploratory technique for investigating large quantities of catego- rical data, Applied Statistics 29(2) (1980) 119-127
    • (1980) Applied Statistics , vol.29 , Issue.2 , pp. 119-127
    • Kass, G.V.1
  • 11
    • 0034274591 scopus 로고    scopus 로고
    • A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
    • Lim, T., Loh, W., Shih, Y.: A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Mach. Learning 40(3) (2000) 203-228
    • (2000) Mach. Learning , vol.40 , Issue.3 , pp. 203-228
    • Lim, T.1    Loh, W.2    Shih, Y.3
  • 13
    • 0002431740 scopus 로고    scopus 로고
    • Automatic construction of decision trees from data: A multi- disciplinary survey
    • Murthy, S.: Automatic construction of decision trees from data: A multi- disciplinary survey. Data Mining and Knowledge Discovery 2 (1998) 345-389
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 345-389
    • Murthy, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.