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Decision Tree Algorithm Application for Classification in Data Mining Based on Extended SLIQ Algorithm.

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Τίτλος: Decision Tree Algorithm Application for Classification in Data Mining Based on Extended SLIQ Algorithm.
Συγγραφείς: Zhang Wei1,2
Πηγή: Journal of the Suzhou University (Engineering Science) / Suzhou Daxue Xuebao. Feb2010, Vol. 30 Issue 1, p72-77. 6p. 4 Diagrams.
Θεματικοί όροι: Algorithms, Data mining, Computational complexity, Artificial neural networks, Computer science
Περίληψη: This paper aims at improving the performance of the SLIQ decision tree algorithm (Mehta et. al, 1996) for classification in data mining. An improvement over the SLIQ algorithm has been proposed to reduce the computational complexity. It was observed that the decision tree constructed using the proposed decision tree algorithm gave far better classification accuracy than the classification accuracy obtained using the SLIQ algorithm and the neural network classification technique. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Supplemental Index
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DbLabel: Supplemental Index
An: 54709282
RelevancyScore: 834
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 833.75634765625
IllustrationInfo
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  Data: Decision Tree Algorithm Application for Classification in Data Mining Based on Extended SLIQ Algorithm.
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  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink>
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  Data: This paper aims at improving the performance of the SLIQ decision tree algorithm (Mehta et. al, 1996) for classification in data mining. An improvement over the SLIQ algorithm has been proposed to reduce the computational complexity. It was observed that the decision tree constructed using the proposed decision tree algorithm gave far better classification accuracy than the classification accuracy obtained using the SLIQ algorithm and the neural network classification technique. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Languages:
      – Code: chi
        Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 72
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Computational complexity
        Type: general
      – SubjectFull: Artificial neural networks
        Type: general
      – SubjectFull: Computer science
        Type: general
    Titles:
      – TitleFull: Decision Tree Algorithm Application for Classification in Data Mining Based on Extended SLIQ Algorithm.
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            – D: 01
              M: 02
              Text: Feb2010
              Type: published
              Y: 2010
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              Value: 30
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            – TitleFull: Journal of the Suzhou University (Engineering Science) / Suzhou Daxue Xuebao
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