• DocumentCode
    3500065
  • Title

    Design of distributed Web mining model based on XML and agent for network teaching platform

  • Author

    Liu Shengjian ; Wang Fengni ; Yang Haiyan

  • Author_Institution
    Dept. of Teaching & Res., PLA Border Defence Acad., Xi´an, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    404
  • Lastpage
    408
  • Abstract
    With the rapid growth of the Web data, for the phenomenon of data explosion but poor knowledge, as the data mining based on database table has been unable to meet the needs of Web application, a distributed Web mining is becoming a research hot spot presently. Firstly, based on the research of web mining, XML is used to transform semi-structured data to well structured data, and a distributed web mining model based on XML is deeply discussed. Then, a mobile agent technology is introduced into the design of Web mining system, and a distributed Web mining structure based on data mining agent is built. Finally, an architecture design of network teaching platform based on XML and agents is realized, which can provide intelligent aids for personalized learning, thus greatly improve the teaching efficiency of network teaching platform.
  • Keywords
    Internet; XML; data mining; Web application; Web data; Web mining system; XML; architecture design; data explosion; data mining agent; database table; distributed Web mining model; distributed Web mining structure; intelligent aids; mobile agent technology; network teaching platform; personalized learning; semi-structured data; Computational modeling; Databases; Distributed processing; Education; HTML; Web mining; XML; Distributed Web mining; Mobile Agent; Network Teaching; Web Mining Model; Web mining; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6757992
  • Filename
    6757992