Design of Education Management System Based on Apriori Algorithm

The design of an education management system based on Apriori algorithm is a promising method for improving the quality of education. Apriori algorithm is a data mining technique that can be used to identify patterns in large data sets. Applying this algorithm to educational data can identify trends and patterns, helping educators make informed decisions about curriculum development, student evaluation, and other aspects of educational management. A key advantage of using Apriori algorithm in education management is its ability to identify the correlation between different variables. For example, by analyzing student performance data and demographic information such as age, gender, and socioeconomic status, educators can gain insight into the factors that can lead to performance gaps. Another advantage of using Apriori algorithm in education management is its scalability. As the size and complexity of educational datasets continue to grow, traditional analytical methods may become less effective. However, the Apriori algorithm is designed to easily handle large datasets. Overall, the design of an education management system based on Apriori algorithm has great potential in improving educational outcomes and ensuring that all students receive high-quality learning opportunities. This article aims to improve the traditional classic Apriori algorithm by using a transaction identifier list to calculate the support and confidence of the newly generated candidate set to generate a frequent itemset for this layer. This fundamentally changes the shortcomings of traditional algorithms that require multiple database scans, greatly improving the algorithm’s running speed and reducing runtime overhead.