Application Research Of Data Mining Technology In The Network Teaching

With the rapid development of mobile Internet, the internet of things and other new generation of information technology, data has become the important information resources in the modern society, the application of big data processing is inseparable from the data mining technology, therefore the data mining technology in all walks of life play a very important role. In the education industry, the mobile Internet across time and space to create a way of learning, has fundamentally changed the way for students to acquire knowledge, the traditional teaching mode is gradually transformed into network based teaching model. The face of a large number of data resource network in the process of teaching, how to make full use of the teaching data, provide valuable basis for the network teaching is a problem worthy of discussion.In this paper, data mining technology in the network teaching are analyzed and studied. Firstly, network learning behavior and characteristics, the problems in network teaching are summarized and analyzed. Then, based on the existing problems, in-depth understanding of the theory of data mining based on a variety of data, using correlation analysis, decision tree analysis, clustering analysis, mining method, network teaching platform and teaching related to the data analysis process is discussed, and focuses on the application of learning behavior analysis, data mining technology in network the network examination results analysis, discusses how to discover the hidden, useful knowledge from a large amount of data in the teaching, to help students to learn effectively, effective teaching teachers, to achieve effective integration of network teaching in teaching and learning, but also provide a reference value for mining application development technology in the field of education for the data.In the example analysis, this article through the network course "computer application foundation" real teaching data, the effect of network learning behavior and learning to the student has carried on the correlation analysis, cluster analysis of students’ network learning behavior, to student’s network test scores for the decision tree analysis, effective network teaching Suggestions are put forward based on the results of the analysis. Through the analysis of the results of the mining and evaluation, understand students’ network learning behavior associated with the examination results of all the elements, to master all kinds of students’ learning characteristics, understand the key knowledge affect test scores, to gain the knowledge to aid decision making. Teachers can further grasp the situation of the students’ autonomous learning and demand, so as to optimize teaching strategies, better guide and supervise the students’ learning; Students can through the auxiliary decision-making knowledge, to form a more effective learning strategies.