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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 121-125
Association Rules is an important research direction of data mining. Its study is mostly concentrated on improving algorithm efficiency presently, but neglects users’ understanding and participating in excavating course. Students’ historical academic records stored in university's educational administration systems was taken as data source, the paper established interactive visible mining model based on classical association rules, and introduced objective interest degree and subjective interest degree. Experiment results show that model built was feasible and meaningful; it could help us improve teaching management and personnel trainings’ quality.
Association rules, Apriori algorithm, Interest measure, Early-warning of students' academic records
Yanli Li, Xiang Li, Li Zhu, "Research on Early-Warning Model of Students' Academic Records Based on Association Rules", Computer Science and Information Engineering, World Congress on, vol. 04, no. , pp. 121-125, 2009, doi:10.1109/CSIE.2009.282
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