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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2005> 14(2): 126-129
CHEN Jun-jie, SONG Han-tao, LU Yu-chang. Study and Implementation of Web Mining Classification Algorithm Based on Building Tree of Detection Class Threshold[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(2): 126-129.
Citation: CHEN Jun-jie, SONG Han-tao, LU Yu-chang. Study and Implementation of Web Mining Classification Algorithm Based on Building Tree of Detection Class Threshold[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2005, 14(2): 126-129.
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Study and Implementation of Web Mining Classification Algorithm Based on Building Tree of Detection Class Threshold

  • 1.

    School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    State Key Laboratory of Intelligent Technology and System, Tsinghua University, Beijing 100084, China

Funds:SponsoredbytheNational“973”ProgramProjects(G1998030414)andtheNaturalScienceFoundationofShanxiProvince(20031038)
  • Received Date:2003-11-06
    Abstract
  • A new classification algorithm for web mining is proposed on the basis of general classification algorithm for data mining in order to implement personalized information services. The building tree method of detecting class threshold is used for construction of decision tree according to the concept of user expectation so as to find classification rules in different layers. Compared with the traditional C4.5 algorithm, the disadvantage of excessive adaptation in C4.5 has been improved so that classification results not only have much higher accuracy but also statistic meaning.
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