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Data Mining: Associating Information Literacy with Regulating Rules

机译:数据挖掘:将信息素养与调节规则相关联

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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.
机译:互联网充满了学习,沟通和共享信息的机会。这是儿童和成年人的宝贵资源。然而,与任何大型社区一样,在线世界呈现出一些潜在的风险,特别是儿童。父母需要意识到他们的孩子可能遇到的一些潜在问题,并试图采取足够的措施来保护孩子免受受伤。在本文中,研究将努力探索父母信息文学之间的关系,对互联网自卫的自卫能力的信心,以及更有效地使用互联网促进儿童的充分措施。关联规则,一种数据挖掘策略,将是操纵数据集的主要工具。 APRIORI是一种学习关联规则的经典算法,旨在在包含事务的数据库上运行。

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