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Cluster Computing

, Volume 22, Supplement 6, pp 13797–13803 | Cite as

Research on the evaluation index system of college students’ class teaching quality based on association algorithm

  • ZhiChao Wang
  • Qing Tian
  • Xinxing DuanEmail author
Article
  • 69 Downloads

Abstract

Nowadays, the universal application and development of computer technology make data mining play an extremely crucial role in students’ English education. In this paper, students’ English learning is taken as an entry point, and Apriori algorithm is used to analyze English majors’ education technical to train data mining. In this paper, the introduction of lift-measure interest independent is used to explore the rules that can arouse our own interest. Taking the mutual exclusion of mining data into account, optimize and improve the classic Apriori algorithm, it improves the efficiency of mining frequent item sets effectively. After optimization, AD-apriori algorithm can make the reduction in complexity of time and space in mining process.

Keywords

Apriori algorithm Technical ability Data mining 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Hebei University of EngineeringHandanChina
  2. 2.Xiaqing School of Media of Handan UniversityHandanChina
  3. 3.School of Public Policy & Management in China University of Mining & TechnologyHandanChina

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