Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (5): 792-799.doi: 10.23940/ijpe.20.05.p13.792799

• Orginal Article • Previous Articles     Next Articles

An Apriori Algorithm to Improve Teaching Effectiveness

Shengsha Xu*   

  1. Zhejiang Industry Polytechnic College, Shaoxing, 312000, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: Shengsha Xu
  • About author:Shengsha Xu is a Lecturer at Zhejing Industry Polytechnic College, He received her master degree from Nanyang Technological University,his research directions is research on University Teaching Management.


Teaching quality has always been an important part of measuring the level of school education, and using mining algorithms to study the factors of teaching quality can effectively improve the quality of teaching. An improved Apriori algorithm was proposed aiming at the shortcomings of the Apriori mining algorithm, such as long time consumption and low algorithm efficiency. The algorithm improves the mining performance of the algorithm by adding databases, improving frequent 1-itemsets, improving frequent 2-itemsets, and introducing dynamic storage space. In simulation experiments, compared with other mining algorithms, the algorithm in this paper has a better analysis effect in teaching quality content, and can provide a useful reference for teaching quality.

Key words: Apriori algorithm, improved frequent 1-itemsets, improved frequent 2-itemsets, teaching quality