• DocumentCode
    3010201
  • Title

    Exploring the Relationship Between Parental Information Literacy and Regulating Rules in Family by Data Mining

  • Author

    Lee, Yuan-Duen ; Tsai, Wen-Chia ; Hsu, Sheng-Fei

  • Author_Institution
    Grad. Sch. of Bus. Oper. & Manage., Chang Jung Christian Univ. Tainan, Tainan, Taiwan
  • Volume
    2
  • fYear
    2009
  • fDate
    11-14 Dec. 2009
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    Internet is filled with opportunities for learning, communicating, and sharing information. It is a valuable resource for children and adults alike. 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 tried 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 rule, a kind of data mining strategy, was the main tool to manipulate the dataset.
  • Keywords
    Internet; data mining; social aspects of automation; Internet; data mining; information sharing; learning; parental information literacy; Association rules; Business communication; Computational intelligence; Conference management; Data mining; Games; Home computing; Internet; Probability; Technology management; Apriori algorithm; WEKA; data mining; information literacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2009. CIS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5411-2
  • Type

    conf

  • DOI
    10.1109/CIS.2009.161
  • Filename
    5375783