• DocumentCode
    3299002
  • Title

    Study and application of web data mining based on XML

  • Author

    Zhang, Pengwei ; Chen, Jingxia

  • Author_Institution
    Electr. & Inf. Eng. Coll., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    With the development of information technologies, web data mining has been put forward and in wide research. It is defined as the discovery, extraction and analysis of useful and potential information from the World Wide Web. But much of inhomogeneous and anomalistic and dynamic updated semi-structured data in web pages makes web data mining difficult. To solve this problem, on the basis of analyzing the characteristics of XML, the paper presents a web data mining model on XML, and introduces the method to implement the model with XML and Java technologies in detail with the combination of an instance. Finally, some valuable discussions are put forward on this model for its shortages.
  • Keywords
    Data engineering; Data mining; Databases; Educational institutions; Educational technology; HTML; Information technology; Java; Paper technology; XML; RDF; Web; XML; data mining; semi-structured;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational and Network Technology (ICENT), 2010 International Conference on
  • Conference_Location
    Qinhuangdao, China
  • Print_ISBN
    978-1-4244-7660-2
  • Electronic_ISBN
    978-1-4244-7662-6
  • Type

    conf

  • DOI
    10.1109/ICENT.2010.5532169
  • Filename
    5532169