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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
Article
  • 53 Downloads

Abstract

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.

Keywords

Data mining Art innovation teaching ID3 algorithm 

References

  1. 1.
    Wang, L.J., Zheng-Wei, H.E., Feng, P.X.: Study of outlier data mining algorithm based on ica. J. Univ. Electron. Sci. Technol. China 44(2), 211–214 (2015)Google Scholar
  2. 2.
    Sikora, R., Piramuthu, S.: Framework for efficient feature selection in genetic algorithm based data mining. Eur. J. Oper. Res. 180(2), 723–737 (2015)CrossRefGoogle Scholar
  3. 3.
    Bhandari, A., Gupta, A., Das, D.: Improvised apriori algorithm using frequent pattern tree for real time applications in data mining. Proced. Comput. Sci. 46(3), 644–651 (2015)CrossRefGoogle Scholar
  4. 4.
    Li, J.: Research on art teaching mode innovation mechanism of the synergy of independent college. Contemp. Art Technol. 15(2), 102–115 (2015)Google Scholar
  5. 5.
    Yang, W.L.: A study of the innovation of “three selfs” art teaching. Theory Prac. Educ. 6(2), 64–70 (2016)Google Scholar
  6. 6.
    Liu, C.: Study on art teaching method and practice in the concept of innovation education. Acad. J. Shaolin Taiji 15(3), 40–47 (2015)Google Scholar
  7. 7.
    Liu, Y.: The innovation of the mechanic colleges and universities Art teaching mode in the concept of security. J. Jiamusi Vocat. Inst. 10(6), 205–212 (2016)Google Scholar
  8. 8.
    Zhang, S.: Evaluation of the heilongjiang province art teaching in university sustainable innovation ability based on GEM-AHP- fuzzy evaluation. Int. J. Multimed. Ubiquitous Eng. 10(1), 379–390 (2015)CrossRefGoogle Scholar
  9. 9.
    Almudi, I., Fatásvillafranca, F., Potts, J., et al.: Demand side absorptive capacity in art innovation. Soc. Sci. Electron. Publ. 8(1), 156–162 (2017)Google Scholar
  10. 10.
    Wang, X., Wang, X.: The building of the social innovation and entrepreneurship physical education system in practice. Hubei Art Sci. 3(2), 19–23 (2017)Google Scholar

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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