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DBSCAN聚类算法在数据业务监控中的应用研究

发表时间:2015-02-28  浏览量:55321  下载量:28445
全部作者: 常琳,王芳
作者单位: 河北农业大学信息科学与技术学院
摘 要: 为快速有效地监控移动业务,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。
关 键 词: 计算机应用;聚类分析;DBSCAN;数据业务监控;异常检测
Title: Research on application of DBSCAN clustering algorithm in data monitoring system
Author: CHANG Lin,WANG Fang
Organization: School of Information Science & Technology, Agricultural University of Hebei
Abstract: In order to monitor the mobile business quickly and effectively, by analyzing the characteristics of mobile business data, DBSCAN algorithm was put forward and improved based on density to detect abnormal mobile service data. The improved method was well adapted and its operation efficiency was significantly improved. Practice showed that the method using in the mobile service data anomaly detection was of important application value in the field.
Key words: computer applications; cluster analysis; DBSCAN; data monitoring; anomaly detection
发表期数: 2015年2月第4期
引用格式: 常琳,王芳. DBSCAN聚类算法在数据业务监控中的应用研究[J]. 中国科技论文在线精品论文,2015,8(4):381-387.
 
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