Smart Complex Financial Flow Real-Time Control System based on Artificial Intelligence and Data Mining

Smart complex financial flow real-time control system based on artificial intelligence and data mining is studied in the paper. When implementing the algorithm, a large number of regular expressions are used to extract key data, so the design of regular expression functions is listed. The goal of clustering is to divide the data set into several clusters, so that the similarity of samples within a cluster is as large as possible, and the similarity of samples between clusters is as small as possible. There are many ways to implement this concept, each way corresponds to an evaluation index, which can be used to test the effectiveness of the algorithm. For an enterprise to implement financial data management, the database design process includes the following basic steps: analyzing business needs and planning, drafting database outlines, checking system requirements, loading test data into the database, defining calculations. The performance is then simulated with the modelling.