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Erschienen in:
14.03.2018
Research on art innovation teaching platform based on data mining algorithm
Erschienen in: Cluster Computing | Sonderheft 6/2019
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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.