Abstract
In the current application process of learning behavior data mining, the poor classification of data model training problems leads to long data mining time and affects accuracy. Therefore, a data mining method for English online learning behavior based on machine learning technology is proposed. First, set up the set of association items and establish behavior association rules. Cluster student behaviors based on association rules. And according to the clustering set, construct a learning object model, and use machine learning technology to train the model. After training, decision tree is used to mine data. In order to verify whether the design method meets the original intention of the design, the experimental analysis is carried out. The literature method and the designed data mining method are used to mine the students’ behavior data in the English online learning platform of a university. The experimental results show that the designed data mining method has shorter time-consuming and higher accuracy, and achieves the original design intention.
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Jiang, Y., Jiang, Yh. (2021). Data Mining Method of English Online Learning Behavior Based on Machine Learning Technology. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-84383-0_11
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DOI: https://doi.org/10.1007/978-3-030-84383-0_11
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