Data Mining: Associating Information Literacy with Regulating Rules

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

183-188

DOI:

10.4028/www.scientific.net/AMR.204-210.183

Citation:

C. C. Lin and D. H. Shih, "Data Mining: Associating Information Literacy with Regulating Rules", Advanced Materials Research, Vols. 204-210, pp. 183-188, 2011

Online since:

February 2011

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Price:

$35.00

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