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Volumn 2013, Issue , 2013, Pages

Incremental optimization mechanism for constructing a decision tree in data stream mining

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY PROBLEMS; ALGORITHM'S PERFORMANCE; DATA STREAM MINING; DECISION-TREE ALGORITHM; INCREMENTAL OPTIMIZATION; MECHANISM CONTROL; OVER FITTING PROBLEM; VERY FAST DECISION TREES;

EID: 84876496968     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2013/580397     Document Type: Article
Times cited : (23)

References (20)
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  • 5
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    • Elomaa, T.1
  • 8
    • 67649531728 scopus 로고    scopus 로고
    • Flexible decision tree for data stream classification in the presence of concept change, noise and missing values
    • 10.1007/s10618-009-0130-9 MR2506215
    • Hashemi S., Yang Y., Flexible decision tree for data stream classification in the presence of concept change, noise and missing values. Data Mining and Knowledge Discovery 2009 19 1 95 131 10.1007/s10618-009-0130-9 MR2506215
    • (2009) Data Mining and Knowledge Discovery , vol.19 , Issue.1 , pp. 95-131
    • Hashemi, S.1    Yang, Y.2
  • 9
    • 67650659733 scopus 로고    scopus 로고
    • CBDT: A concept based approach to data stream mining
    • Lecture Notes in Computer Science 10.1007/978-3-642-01307-2-107
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    • Stefan, H.1    Russel, P.2    Yun, S.K.3
  • 14
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    • Online bagging and boosting
    • Boston, Mass, USA Morgan Kaufmann
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    • (2001) Artificial Intelligence and Statistics , pp. 105-112
    • Oza, N.1    Russell, S.2
  • 19
    • 78649934709 scopus 로고    scopus 로고
    • Irvine, Calif, USA University of California, School of Information and Computer Science
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    • (2010) UCI Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.