Studying and Application of Apriori Algorithm in Analysis of Students’ Achievement

Abstract:

In recent years, with China's higher education scale is larger and larger, the college after a long-term accumulation are stored a large number of student achievement information. But to the score analysis generally remain in a simple query and statistical stage, such as statistical quality, good, pass, fail, level number and calculate average scores, the standard deviation index, and for students to obtain these results and the relationship between curriculum have correlation or not often do not understand. By using the Apriori algorithm of association rules, hundreds of students for comprehensive mining, analysis revealed some important information and reason, to work with some of the theoretical and factual basis. If the rational development and utilization of these data, find the course between the correlation effects on student outcomes. It will be on course setting and arrangement has significant meaning.

• Periodical: Applied Mechanics and Materials (Volume 529)
• Pages: 759-762
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.529.759
• Online since: June 2014
• Authors: Yin Fei Dai, Yao Hong Zhao, He Gu
• Keywords: Apriori Algorithm, Association Rule, Data Collection, Data Mining (DM)

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