A Study On The Relationship Between College Students' Network Behavior And Their Academic Achievements

With the gradual popularization of the construction of campus network in Colleges and universities,campus network has become the most important way for students to access the Internet.At the same time,a large number of network behavior data are generated on the exit firewall.Behind these massive data,there are also some information that people can hardly find by intuition and experience.However,the traditional database technology is difficult to obtain valuable information from a large number of data.Analyzing the data of students' network behavior can help school administrators and academic experts to understand students' network behavior preferences,various network behaviors of different student user groups,and whether network behaviors affect academic performance.The paper is divided into five parts.In the first chapter,the research status and significance of user behavior analysis,the main content and organizational structure of the paper are described.In the second chapter,the theoretical knowledge and technical application related to the article are analyzed.In the third chapter,the web page classification algorithm based on URL characteristics is studied.The URL is separated from the collected log data,and the web is extracted from the URL Page keywords,according to the key words to classify the URL,and use the classification algorithm to verify the accuracy of the web page classification.Chapter four implements the network behavior classification,classifies all the log data of the student sample,establishes the interest dimension of web page browsing for each student sample,and explains and analyzes the classification results.Finally,chapter five passes the classification results of student web page browsing The association rules are related to the students' course scores,and the results are obtained and explained.