PATTERN MINING APPROACH TOWARDS STUDENT PERFORMANCE

Sweta V. Parmar

Abstract


The performance of students is major concern for the any academic institute. Educational Data Mining methodologies can play vital role to analysis the performance of students. Association rule mining is an important methodology in the field of data mining and it is used to discover patterns or associations among sets of items in databases. In this paper, an association rule mining technique namely Apriori algorithm is used to extracts the set of rules. It explores the association or relationship among the performance indicators attributes. It will to improve performance of students.

Keywords: Educational Data Mining (EDM), Association Rule Mining, Pattern Mining, Apriori, Confidence, Minimum Support, WEKA


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