Research on Data Mining Technology Based on Data Stream Management Systems

With the advent of the big data era, Data Stream Management Systems (DSMS) have gradually become important tools for processing massive real-time data. This paper studies the data mining technology within DSMS, exploring its applications in real-time data processing, anomaly detection, and decision support. First, the paper reviews the basic concepts and current status of DSMS and data mining technology. Then, it analyzes the challenges faced in data mining in a data stream environment and proposes improvement schemes. Through experimental verification, the improved algorithms proposed in this study show significant advantages in processing efficiency and accuracy. Finally, the paper summarizes the research results and points out directions for future research.