Data Processing Technology in CPSS Platform Design

Data Mining (DM) is a flexible, simple, on-demand computing model that can utilize the network to access and use the same set of computing resources. Now, enterprises are pushing to realize new functions such as cloud video and cloud storage, so that a large amount of data on the enterprise's local server is gradually being transferred to the enterprise cloud. DM integrates and enhances desktop, grid-based, and distributed computer systems. The original purpose is to study the data processing research in the CPSS platform based on DM. This paper analyzes the definition and process of DM, data preprocessing, experimental data source and clustering algorithm K-Means, and finally draws the experimental results. The empirical analysis results show that with the continuous increase of the number of nodes in the CPSS complex, the time required for each task gradually decreases. Experiments show that the optimized algorithm can be effectively applied to big data processing. And we conducted a questionnaire and found that more than 84% of the people felt that the data processing in the design of the CPSS platform was applied to DM, and found that the design efficiency has become higher.