摘要

In order to explore the reliable smart pension model, this paper improves the data mining algorithm and constructs an intelligent algorithm suitable for data mining of the pension model. Moreover, this paper combines modern information technology to construct functional modules of the smart pension model, and combines with Maslow's demand theory to construct the functional structure of the pension model system. In addition, starting from the actual situation, this paper combines the actual needs of the pension model to obtain the pension needs through data mining, and updates the system in real time, which is convenient to adapt to the needs of the transformation of the pension model. Finally, this paper combines experiments to evaluate and analyze the system to provide a theoretical reference for the establishment of the follow-up community pension model. Through experimental research, we can see that the smart pension platform based on data mining constructed in this paper has good results, and the system can meet the needs of a variety of pension modes.