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An effective way to achieve excellence in research based learning using association rules

机译:使用关联规则在基于研究的学习中实现卓越的有效途径

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Now-a-days the storage of a huge amount of data is very easy due to use of modern technologies, but the useful information that remains inside that storage media is unknown to us. The data mining provides us different techniques and rules that can be used to analyze and extract unknown rules, hidden patterns and associations from the previously stored data. Data mining technology is well implemented in the field of marketing, finance but not so familiar in education field. In this paper we are applying Apriori algorithm to find the hidden interest of a student, while selecting a subject from a group of elective subjects, the system will suggest some elective subjects according to student's interest, and the research paper related to that subjects or domain. The implemented Association rules and algorithms guide the students in an effective way to achieve excellence in their research based learning.
机译:如今,由于使用了现代技术,因此非常容易存储大量数据,但是对于我们而言,存储在该存储介质中的有用信息是未知的。数据挖掘为我们提供了不同的技术和规则,可用于分析和提取先前存储的数据中的未知规则,隐藏模式和关联。数据挖掘技术在市场营销,金融领域已得到很好的实施,但在教育领域却不那么熟悉。在本文中,我们使用Apriori算法来发现学生的潜在兴趣,同时从一组选修科目中选择一个科目,系统会根据学生的兴趣建议一些选修科目,并且与该科目或领域相关的研究论文。已实施的协会规则和算法可以有效地指导学生,使其在基于研究的学习中达到卓越。

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