Analysis of Laboratory Management Platform Construction Supported by Apriori Algorithm

With the continuous development of experimental teaching in universities, a large amount of experimental data has been accumulated in the daily teaching process. How to use this data to help researchers better evaluate the teaching effectiveness of students, improve their learning enthusiasm, help students better grasp theoretical knowledge, and improve their hands-on and practical abilities is a challenge faced by every teacher engaged in experimental teaching. At present, most laboratory management systems in universities use relational databases to store and manage experimental data. By analyzing these experimental data, more valuable information can be obtained. In order to better mine and analyze experimental data in university laboratory management systems, this article introduces the basic concept of the Apriori algorithm and the key technologies of its application. Then, with the support of the Apriori algorithm, a laboratory management platform was designed and finally tested in practice. The results showed that the platform application performed well.