• DocumentCode
    2640921
  • Title

    Associating Information Literacy with Regulating Rules in Family by Data Mining

  • Author

    Lin, Chia-Chia ; Shih, Dong-Her

  • Author_Institution
    Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Douliou
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    547
  • Lastpage
    547
  • Abstract
    The Internet is filled with opportunities for learning, communicating, and sharing information. It is a valuable resource for children and adults alike. Like any large community, however, the online world presents some underlying risks, especially for children. Parents need to be aware of some of the potential problems their children could encounter, and try to take adequate measures to protect their children from injury. In this paper, research will try to explore the relationship between parent´s information literary, the confidence in child´s ability of self-defense on the internet, and adequate measures to promote child using the internet more effectively. Association rules, a kind of data mining strategies, will be the main tool to manipulate the dataset. Apriori, a classic algorithm for learning association rules, is designed to operate on databases containing transactions.
  • Keywords
    Internet; data mining; home computing; social aspects of automation; Internet; apriori algorithm; association rule learning; children; data mining; parent information literacy; Association rules; Business communication; Data mining; Games; Home computing; Information management; Information technology; Internet; TV; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.171
  • Filename
    4603736