Multi-Modular Design of Intelligent Business Service System Based on Apriori Algorithm

With the popularization and application of the Internet, in the intranet system, customers attach great importance to massive data sets such as item information, merchant orders and product details, but they are unable to meet the needs of a large number of dynamic related transactions of goods. However, due to the existence of various redundant data in mainstream business systems on the market, how to use these large amounts of repetitive features to improve the efficiency of business analysis has become an urgent problem to be solved. To this end, this paper proposes to design an intelligent business service system based on the Apriori algorithm to facilitate the development of industrial and commercial service levels. This article mainly uses the collection method and data analysis method to study Apriori's related algorithms, and then uses the experimental method to analyze the operation and module design of the intelligent system, and finally uses the investigation method to understand the people's system construction requirements for intelligent services. The survey results show that 46.1% of people believe that the intelligent business service system should be designed with emphasis on customer participation.