Optimization Analysis of Public Policy Online Voting System Based on Data Mining Algorithm

Abstract

Correct decision-making and effective implementation of public policies will bring positive results to the development of the economy and the advancement of society. Errors in decision-making or improper implementation will bring certain negative effects. In a sense, the issue of public policy is the most important issue of a country's legislation and judiciary, and it is also the main method used by the authorities to safeguard the interests of the people. With the development of the Internet, a lot of information can be effectively processed through computer network technology, so information feedback has become the goal that people pursue, and the online voting system is one of the products. In this paper, a network online voting system is specially designed for public policy formulation and decision-making. The association rules algorithm in the data mining algorithm is introduced, and the system can exclude the user IPs who voted repeatedly. Through the algorithm statistical data results, the voting rate and voting items can be found. The algorithm also optimizes the statistical process of voting results, making voting data processing more convenient and accurate. After the system is tested, the operational reliability of the system in this paper is also verified.