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Volumn , Issue , 2009, Pages

A new approach for decision tree based on principal component analysis

Author keywords

Classification, multivariate statistical; Component; Data mining; Decision tree; Principal components analysis

Indexed keywords

ABNORMAL DATA; ACTIVE PARTS; ALGORITHM MODEL; CLASSIFICATION ,; CLASSIFICATION ALGORITHM; CLASSIFICATION ERRORS; CLASSIFICATION, MULTIVARIATE STATISTICAL; COMPONENT; DECISION TREE MODELS; DECISION-TREE ALGORITHM; INFORMATION COLLECTIONS; MASS DATA; MULTI-ATTRIBUTES; MULTIVARIATE STATISTICAL METHOD; NEW APPROACHES; NP PROBLEMS; PREDICTION ACCURACY; PRINCIPAL COMPONENTS ANALYSIS;

EID: 77949665468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISE.2009.5366006     Document Type: Conference Paper
Times cited : (14)

References (9)
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    • Mitra Sushmita1, Pal Sankar K, Mitra Pabitra IEEE Transactions on Neural Networks [J]. 13(1), 2002.
    • Mitra Sushmita1, Pal Sankar K, Mitra Pabitra IEEE Transactions on Neural Networks [J]. 13(1), 2002.
  • 3
    • 33744584654 scopus 로고    scopus 로고
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    • Quinlan J R Indution of decision trees[J]. Machine Learning, 1986, 1(1):81 - 106.
  • 4
    • 77949710971 scopus 로고    scopus 로고
    • Quinlan J R. C4.5: Pragrams for machine learning [M]. California: Morgan Kaufmann Publishers, Inc,1993.
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  • 5
    • 0034250160 scopus 로고    scopus 로고
    • An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization [J]
    • Thomas G. Dietterich, An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization [J]. Machine Learning, 2000, 40, 139-157.
    • (2000) Machine Learning , vol.40 , pp. 139-157
    • Dietterich, T.G.1
  • 6
    • 0002125069 scopus 로고    scopus 로고
    • The effects of training set sizes on decision tree [A]
    • Nashville: Morgan Kaufman
    • Oates T, Jensen D. The effects of training set sizes on decision tree [A]. Proc of the 14th Int'l Conf on Machine Learning [C]. Nashville: Morgan Kaufman, 1997, 254-262.
    • (1997) Proc of the 14th Int'l Conf on Machine Learning , vol.100 , pp. 254-262
    • Oates, T.1    Jensen, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.