期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：2
页码：268-271
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The different data mining techniques like classification, clustering, association mining can be applied on different applications to bring out new knowledge from it. This paper aims at applying association mining on educational data to understand the knowledge and performance of students. Apriori algorithm is implemented on student log data to bring out the interesting rules. There rules can be used to infer the performance of the students and to impart the quality of education in the educational institutions. The algorithm generated frequent item sets using support so as to understand the interest of the students in the course. Interesting rules are generated based on frequent item sets using confidence factor of the dataset. The rule helps the tutor to understand the knowledge and performance of the students in answering the questionnaire and hence understand the interest of the students in the course.
关键词：Student log data; Association rules; Apriori ; algorithm
