Preprocessing expert system for mining association rules in telecommunication networks

Authors:
Tong-Yan Li;Xing-Ming Li
Affiliations:
Department of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, China;Key Laboratory of Broadband Optical Fiber Transmission and Communication Networks of Ministry of Education, UESTC, Chengdu 610054, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 7
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Abstract

Recently, the application of association rules mining becomes an important research area in alarm correlation analysis. However, the original alarms in the telecommunication networks cannot be used to mine association rules directly. This paper proposes a novel preprocessing expert system model to deal with the original alarms. This model uses two important techniques, of which the time window technique is used for converting original alarms into transactions, and the neural network technique can classify the alarms with different levels according to the characteristics of telecommunication networks in order to mine the weighted association rules. Simulation results and the real-world applications demonstrate the effectiveness and practicality of this preprocessing expert system.