Cluster Computing

, Volume 22, Supplement 6, pp 13867–13872 | Cite as

Research on art innovation teaching platform based on data mining algorithm

  • Gang LiEmail author
  • Fang Wang


The art teaching has been paid more and more attention. And a series of training standards and achievement standards for the education curriculum had been formulated by the Ministry of Education. Based on this, this paper introduces the data mining technology for the artistic achievement evaluation. Firstly, the ID3 algorithm of the art teaching achievement mining decision tree has been built, then Comb the Data Flow in Algorithm. Secondly, test the algorithm concerned with the students’ art test scores to analyze the data mining. Finally, we get the valuable student characteristics information, which indicates that the algorithm constructed in this paper has applicability and it can serve the art teaching in schools very well.


Data mining Art innovation teaching ID3 algorithm 


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Copyright information

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

Authors and Affiliations

  1. 1.Wuhan Donghu UniversityWuhanChina
  2. 2.Wuchang University of TechnologyWuhanChina

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