Web Log Mining Techniques to Optimize Apriori Association Rule Algorithm in Sports Data Information Management

Abstract This paper combines the Apriori association rule algorithm and Web application development technology to optimize and upgrade the management system to optimize the current college sports data information management system. On the one hand, the novel log mining technology in web application development technology is introduced. This technology has an excellent performance in improving system performance and understanding user behavior to discuss students’ access habits and content through processing sports data. On the other hand, combined with log mining technology to optimize the Apriori algorithm, the association between sports data information is found through the optimization algorithm. The retrieval accuracy and time are improved, which is convenient for the webmaster to grasp the details of the system. Finally, experiments are used to verify the reliability and effectiveness of the optimized system. The experimental results show that before the algorithm optimization, with the increase in the amount of information, the running time of the Apriori algorithm almost shows a multiplication trend. However, the optimized algorithm has improved its execution efficiency by at least 10–15%, which can verify that the optimized algorithm also exhibits good performance when the amount of information is enormous. Compared with traditional management systems, the optimized system has dramatically improved information retrieval time and accuracy, with an average retrieval accuracy of 98.3% and a retrieval time improvement of 23%. This is because adding the association algorithm improves the correlation between the information. It improves the retrieval accuracy of the system and shortens the retrieval time. Therefore, the technology and algorithm studied here have specific application value in the sports information management system and provide a methodological reference for the information management of other subjects.