Abstract
The attention paid to art teaching is not greatly increased, and the Ministry of Education also formulates corresponding exercises and standards of achievement according to the education curriculum. Under this condition, the data mining technology is applied to the process of art achievement evaluation. First of all, the ID3 algorithm of the decision tree is built which is obtained by the art test scores mining, and then the data flow is combined in the algorithm. In addition, in connection with the student’s own artistic achievements, the algorithm is tested and the data mining analysis is conducted to finally obtain the students. The characteristic information and the algorithm indicates that the text have practicability, which has a certain positive effect on art education in colleges and universities.
Similar content being viewed by others
References
Wang, L.J., Zheng-Wei, H.E., Feng, P.X.: Study of outlier data mining algorithm based on ICA. J. Univ. Electr. Sci. Technol. China 44(2), 211–214 (2015)
Sikora, R., Piramuthu, S.: Framework for efficient feature selection in genetic algorithm based data mining. Eur. J. Oper. Res. 180(2), 723–737 (2015)
Bhandari, A., Gupta, A., Das, D.: Improvised apriori algorithm using frequent pattern tree for real time applications in data mining. Procedia Comput. Sci. 46(3), 644–651 (2015)
Li, J.: Research on art teaching mode innovation mechanism of the Synergy of Independent College. Contemp. Art Technol. 15(2), 102–115 (2015)
Yang, W.L.: A study of the innovation of “Three Selfs” art teaching. Theor. Pract. Educ. 6(2), 64–70 (2016)
Liu, C.: Study on art teaching method and practice in the concept of innovation education. Acad. J. Shaolin Taiji 15(3), 40–47 (2015)
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)
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)
Almudi, I., Fatásvillafranca, F., Potts, J., et al.: Demand side absorptive capacity in art innovation. Soc. Sci. Electr. Publ. 8(1), 156–162 (2017)
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)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Long, Y. Research on art innovation teaching platform based on data mining algorithm. Cluster Comput 22 (Suppl 6), 14943–14949 (2019). https://doi.org/10.1007/s10586-018-2461-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-018-2461-z