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
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;
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
DOI :
10.1109/ICICIC.2008.171