期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：2
页码：2634
DOI：10.15680/IJIRCCE.2016.0402245
出版社：S&S Publications
摘要：Discovering the hidden knowledge from large volume of student database and applying it properly for decision making is essential for ens uring high quality education in any academic institution. This knowledge is extractable through data mining techniques. Association Rule Mining technique aims at discovering implicative tendencies that can provide valuable information for the decision make r. In this project, we are going to present an applied research on mining Association Rule using academic data of a university and use it for syllabus design. We are going to discover knowledge regarding the academic performance and personal statistics of students. And we will develop a technique to transform the existing relational database for student's academic performance into a universal database format using academic and personal data of a student. After that we will transform the universal format int o a modified format for suitability of using Association Rule mining algorithm. We will use FP Growth algorithm for finding interested association rules from the transformed database which can be useful to extract knowledge of student's academic progress, decay in their potentiality, abandonment as well as retention of students. The impact of courses and curriculum and teaching methodologies are also found from the extracted knowledge which is beneficial for any institution of higher education
关键词：Data Mining; Association Rule Mining; Fp-growth Algorithm; Knowledge Discovery; reasons for weak performance
