Data Mining: Associating Information Literacy with Regulating Rules

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.

• Periodical: Advanced Materials Research (Volumes 204-210)
• Pages: 183-188
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.204-210.183
• Online since: February 2011
• Authors: Chia Chia Lin, Dong Her Shih
• Keywords: Apriori Algorithm, Data Mining (DM), Information Literacy

References

[1] Kaveri Subrahmanyama, Patricia Greenfieldb, Robert Krautc, Elisheva Grossb" The impact of computer use on children's and adolescents' development" , Applied Developmental Psychology 22 (2001), pp.7-30.

[2] Turow, J. The Internet and the family: The view from the parents, the view from the press, (Report No. 27). Philadelphia, PA: Annenberg Public Policy Center of the University of Pennsylvania. （1999, May 4）.

[3] Kraut, R., Scherlis, W., Mukhopadhyay, T., Manning, J., & Kiesler, S. The HomeNet field trial of residential Internet services. Communications of the ACM, 39, (1996), pp.55-63.

DOI: 10.1145/240483.240493

[4] American Library Association, Presidential Committee on Information Literacy: Final Report (Washington D.C.: ACRL, January10, 1989), http: /www. ala. org/ala/acrl/acrlpubs/whitepapers/presidential. htm>.

[5] American Library Association, Presidential Committee on Information Literacy.

[6] The Association of College and Research Libraries, A division of the American Library Association, The Information Literacy Competency Standards for Higher Education, Endorsed by the American Association for Higher Education (October 1999)and the Council of Independent Colleges (February 2004), available at: http: /www. ala. org/acrl/ilcomstan. html.

DOI: 10.1016/b978-1-84334-065-2.50016-3

[7] Ian H. Witten, Eibe Frank, DATA MINING-Practical Machine Learning Tools and Techniques, 2nd edition, Elsevier, （2005）.

[8] Livingstore, S., & Bober, M. UK children go on line: listening to young people's experience, London School of Economics and Political Science, （2003）.