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Educational Information Mining Model Based on Association Rule Algorithm

  • Mingjian Wang,
  • Hailan Lu,
  • Jing Zhou

摘要

Education informatization makes the education system accumulate a large amount of data related to education and teaching. Due to the lack of means to mine, it is impossible to discover valuable rules and knowledge contained in the teaching management and universities can provide scientific and reasonable data support for the teaching and management decisions. In this paper, association rules are used to deal with the mining of educational information. The correct, reliable and credible association rules mined from a large amount of educational information are very important to the educational system and have guiding significance to the educational and teaching reform. According to the research, the application of based on cloud clustering in the field of education can not only promote the progress, reform, perfection and development of the education system, but also provide the basis for various decision-making issues in the management of educational institutions, which is conducive to promoting the sustainable and healthy development of education.