• DocumentCode
    3317013
  • Title

    Research on Privacy Preserving Data in Web Log Mining

  • Author

    Chang-bin Jiang ; Li Chen

  • Author_Institution
    Sch. of Manage., Wuhan Univ. of Technol. WHUT, Wuhan, China
  • fYear
    2010
  • fDate
    23-25 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Researches on preserving private data in the application of web data mining possess practical value. Through introducing basic concepts of web log mining and private data protection, this paper analyzes the status quo of privacy preservation in web log mining, and then it puts forward privacy preserving mining model based on evolutionary algorithm of cloud model, combining with evolutionary algorithm and cloud model theory. This model utilizes digital features of cloud and transformation between its qualitative concept and quantitative value expression. Thus, this model effectively conceals sensitive data, realizes web log mining based on privacy preservation. Results of the experiment reveal the feasibility and superiority of applying evolutionary algorithm of cloud model to privacy preservation in web log mining.
  • Keywords
    Internet; data mining; data privacy; evolutionary computation; security of data; Web data mining; Web log mining; cloud model; evolutionary algorithm; privacy preserving mining model; private data protection; Clouds; Data mining; Data preprocessing; Data privacy; Electronic mail; Entropy; Evolutionary computation; Protection; Technology management; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
  • Conference_Location
    Ternopil
  • Print_ISBN
    978-1-4244-6972-7
  • Electronic_ISBN
    978-1-4244-6974-1
  • Type

    conf

  • DOI
    10.1109/IEEC.2010.5533261
  • Filename
    5533261