Mining of an alarm log to improve the discovery of frequent patterns

被引：0

作者：

Fessant, F ^{[1
]}

Clérot, F ^{[1
]}

Dousson, C ^{[1
]}

机构：

[1] France Telecom, R&D, F-22307 Lannion, France

来源：

ADVANCES IN DATA MINING: APPLICATIONS IN IMAGE MINING, MEDICINE AND BIOTECHNOLOGY, MANAGEMENT AND ENVIRONMENTAL CONTROL, AND TELECOMMUNICATIONS | 2004年 / 3275卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a method to pre-process a telecommunication alarm log with the aim of discovering more accurately frequent patterns. In a first step, the alarm types which present the same temporal behavior are clustered with a self organizing map. Then, the log areas which are rich in alarms of the clusters are searched. The sublogs are built based on the selected areas. We will show the efficiency of our preprocessing method through experiments on an actual alarm log from an ATM network.

引用

页码：144 / 152

页数：9

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