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

Tribikram Pradhan, S. R. Mishra, V. K. Jain
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引用次数: 3

Abstract

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.
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一种利用关联规则实现研究型学习的有效方法
如今,由于现代技术的使用,存储大量数据非常容易,但存储介质中保留的有用信息对我们来说是未知的。数据挖掘为我们提供了不同的技术和规则,可用于从先前存储的数据中分析和提取未知规则、隐藏模式和关联。数据挖掘技术在市场营销、金融等领域得到了很好的应用,但在教育领域还不太熟悉。在本文中,我们使用Apriori算法来发现学生的隐藏兴趣,当从一组选修科目中选择一个科目时,系统会根据学生的兴趣推荐一些选修科目,以及与该科目或领域相关的研究论文。所实施的关联规则和算法有效地指导学生在研究性学习中取得卓越成就。
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