A Method for Sharing Economic Law Teaching Curriculum Resources Based on WEB Data Mining

Abstract

In order to address the shortcomings of low sharing accuracy and long waiting time for shared tasks in existing course resource sharing methods, this paper proposes a teaching course resource sharing method based on WEB data mining. First, sorting and mining the subset of economic law teaching curriculum resources, transforming unstructured data into data warehouse using XML format, and generating the minimum association rule set based on Apriori algorithm; Secondly, resource data cleaning is carried out using group by syntax, and wavelet coefficients are used to remove noise from resource data, achieving preprocessing of economic law teaching course resource data; Once again, the information gain algorithm is used to extract the information features of economic law teaching course resource data; Finally, use polynomial naive Bayes to classify resources and optimize resource sharing requests, completing the design of resource sharing methods for economic law teaching courses. The experimental results show that the accuracy of resource sharing using the method proposed in this article is between 90% and 98%, and the waiting time for shared tasks is between 2.35 s and 22.54 s. The sharing accuracy is high, the waiting time is short, and the sharing effect is good, which has good practicality.