A data clustering algorithm for mining patterns from event logs

被引：0
|
作者：
Vaarandi, R [1 ]
机构：
[1] Tallinn Univ Technol, Dept Comp Engn, EE-200108 Tallinn, Estonia
来源：
PROCEEDINGS OF THE 3RD IEEE WORKSHOP ON IP OPERATIONS & MANAGEMENT (IPOM2003) | 2003年
关键词：
system monitoring; data mining; data clustering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, mining patterns from event logs is an important system management task. This paper presents a novel clustering algorithm for log file data sets which helps one to detect frequent patterns from log files, to build log file profiles, and to identify anomalous log file lines.
引用
收藏
页码：119 / 126
页数：8
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