Design of distance teaching system of College Chinese course based on Data Mining

The data throughput of conventional distance teaching system is low, and the length of course search path is long. Therefore, this paper proposes the design of distance teaching system of College Chinese course based on data mining, and optimizes the system software on the basis of conventional system hardware. Select the appropriate data mining tools, filter the course resources in the web page information, and then integrate the pre-processed course resources and set up a system database. Through the neural network, the course resources with high degree of association are clustered, and service nodes and leaf nodes are selected to transfer resource data remotely. Experimental results show that the design system increases the data throughput, reduces the length of the search path, and improves the transmission performance of curriculum resources.