An approach on association patterns mining in telecommunication alarm database

被引：0

作者：

Xu, Qian-Fang ^{[1
]}

Xiao, Bo ^{[1
]}

Guo, Jun ^{[1
]}

机构：

[1] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

来源：

Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2011年 / 34卷 / 02期

关键词：

Alarm systems - Data mining;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Currently limiting to the minimal support, the algorithms used in alarm association rules mining are almost applied in the frequently occurring alarm events. A new algorithm based on graph theory to mine telecommunication alarm pattern is proposed. It first mines network's 2-items association pattern by scanning the database only once, and then gets the maximal association mode, so that it can avoid generating lots of middle items. Experiments based on the actual network alarm data demonstrate the efficiency and the effectiveness of the algorithm.

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页码：85 / 89

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