Research and Implementation on Education and Examination Data Mining System

WAN Ya-qi; HOU Ya-rong; WANG Yong; ZHANG Shu-jie

Journal of Beijing University of Technology > 2009 > 35(5): 697-701.

WAN Ya-qi, HOU Ya-rong, WANG Yong, ZHANG Shu-jie. Research and Implementation on Education and Examination Data Mining System[J]. Journal of Beijing University of Technology, 2009, 35(5): 697-701.

Citation:

WAN Ya-qi, HOU Ya-rong, WANG Yong, ZHANG Shu-jie. Research and Implementation on Education and Examination Data Mining System[J]. Journal of Beijing University of Technology, 2009, 35(5): 697-701.

Citation:

WAN Ya-qi, HOU Ya-rong, WANG Yong, ZHANG Shu-jie. Research and Implementation on Education and Examination Data Mining System[J]. Journal of Beijing University of Technology, 2009, 35(5): 697-701.

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Research and Implementation on Education and Examination Data Mining System

1. College of Computer Sciences, Beijing University of Technology, Beijing 100124, China;
2. Department of Information, Beijing Education Examinations Authority, Beijing 100083, China

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Received Date: September 27, 2007
Available Online: December 06, 2022

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Abstract

With the help of data mining for education and examination data, education management and decision can be made scientifically.Based on the analysis of the education and examination data, a framework of education and examination data mining system was proposed.Algorithm Apriori was applied to the association rule mining in finding the relationship among the grades of the different subjects of the college entrance examination.The association rules mined shows that the grades of different subjects have close relationships, and the minimized support thresholds for all rules are larger than 75%.
- data warehouse,
- data mining,
- association rule,
- education and examination database

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References

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