BSCAN聚类算法在数据业务监控中的应用研究
Research on Application of DBSCAN clustering algorithm in data monitoring system
为快速有效的监控移动业务，通过剖析移动业务数据特点，提出采用基于密度的DBSCAN算法发现移动业务数据存在的异常，并对算法进行改进，改进后的方法适应性更强，运行效率大大提高。实践表明该方法在移动业务数据异常检测领域有重要的应用价值。?????
For the monitoring of mobile business quickly and effectively, by analyzing the characteristics of mobile business data, the DBSCAN algorithm based on density to detect abnormal mobile service data, and makes the improvement to the algorithm, the improved method of stronger adaptability, operation efficiency is greatly improved. Practice shows that the method in the mobile service data anomaly detection has important application value in the field.
张云丽、王芳、常琳
通信
聚类分析BSCAN数据业务监控异常检测
cluster analysisBSCANdata monitoringanomaly detection
张云丽,王芳,常琳.BSCAN聚类算法在数据业务监控中的应用研究[EB/OL].(2014-09-24)[2025-08-05].http://www.paper.edu.cn/releasepaper/content/201409-307.点此复制
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