Abstract
With the rapid development of the Internet and information technology, it has brought convenience to the learning and life of college students, but it has also triggered a series of problems, such as online fraud, online gambling, and addiction to online games, online violence, and online rumors. This article uses data mining techniques and constructs data mining models to deeply explore the internet behavior of college students, timely discover abnormal internet behavior of students, analyze the reasons, and propose measures for cultivating information literacy of college students, providing reference for organizing network management activities and regulating internet behavior of college students.
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