Design and Implementation of Financial Management System Based on Apriori Algorithm

Financial management is very important for the healthy development of enterprises, but as the size and complexity of enterprises increase, the analysis and decision-making of financial data becomes more difficult. This research designs and implements a financial management system based on the Apriori algorithm. The article collects and organizes the company’s financial data, and then uses the Apriori algorithm to mine association rules on the financial data to discover frequent item sets and association rules. Finally, the article visually displays the mining results and provides user-friendly query and analysis functions. The article conducts an in-depth test of the system through experiments. The results show that the minimum association rule time of this system is 0.2 s, and the system can complete the mining process and provide results faster.