There are many students in colleges and universities, and most of them are in the open state. The social people can enter and exit in colleges and universities, and the financial and personal safety of students and teachers can not be well guaranteed. The purpose of this paper is to study the campus security access control system based on dependency association rules. This paper introduces the background and research significance of the campus security management system, describes the status quo of the combination of access control data and campus security, and designs the system functions according to the characteristics of access control data, including personnel data management, access data management. Base station alarm association rule mining model is put forward, and then extracted from the base station alarm database part of data mining, data preprocessing been done according to the characteristics of the alarm data mining transaction database, the experimental results show that with this article campus entrance guard alarm correlation mining model alarm transaction database mining which can obtain meaningful alarm rules.

Qingwei Wang. Campus Security Access Control System Relying on Association Rules. Machine Learning Theory and Practice (2021), Vol. 2, Issue 4: 26-33. https://doi.org/10.38007/ML.2021.020404.

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