Analysis of the factors of influencing parent's confidence on the internet by associating rules mining

Sheng-Fei Hsu, Hui-Ling Yu
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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.
基于关联规则挖掘的互联网家长信心影响因素分析
互联网充满了学习、交流和分享信息的机会。它对儿童和成人都是宝贵的资源。然而,像任何大型社区一样,网络世界也存在一些潜在的风险,尤其是对儿童而言。父母需要意识到孩子可能遇到的一些潜在问题,并尽量采取适当的措施保护孩子免受伤害。在本文中,研究将试图探讨家长的信息文学,对孩子的网络自卫能力的信心,以及适当的措施,以促进儿童更有效地使用互联网之间的关系。关联规则作为一种数据挖掘策略,将成为对数据集进行操作的主要工具。Apriori是一种经典的关联规则学习算法,用于处理包含事务的数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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