The Data Mining Design and Application System for Urban Insurance Business

摘要

Based on the medical insurance data of the information management system database of a city's social security bureau, this paper designs and implements the data warehouse, online analysis, data mining technology and related software. First, based on the understanding of the business of medical insurance, this paper studies the building of data warehouse by basic algorithms of data mining such as decision tree and neural network, and establishes the analysis theme and organization data according to the characteristics of the city's medical social insurance. Secondly, the online analysis model is established to realize the online analysis and show the results. Then, using data mining clustering analysis algorithm, it constructs data mining model and mining the model. This paper also analyzes the influence of multiple attributes of insured individuals and enterprise scale on the use of basic medical insurance accounts and the degree of influence. The results are interpreted to reflect the hidden relationship between the data. Finally, combining with the development of the existing urban basic medical insurance industry, the paper puts forward suggestions to improve the basic medical insurance.