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Alarm Correlation Analysis Based on Association Rules and Its Application in Network Management System

Author: WangJinYan
Tutor: LiuZhiJing;WangDeJie
School: Xi'an University of Electronic Science and Technology
Course: Software Engineering
Keywords: Association rules Alarm Correlation Data Mining Fault Management
CLC: TP311.13
Type: Master's thesis
Year: 2006
Downloads: 68
Quote: 1
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Abstract


With communication network continues to grow and develop , network fault management is becoming increasingly complex. Alarm correlation analysis as an important part of the fault management is an important alarm information processing technology , from which the user can predict the network running status , positioning the real cause of the cause of abnormal network run . There are several methods of analysis of the alarm correlation , wherein the rule-based alarm analysis method meet the logic of the person , and easy to understand, and therefore widely used in the communication network . However , the rules of the traditional rule-based alarm analysis method to obtain the knowledge and experience largely dependent on the network management engineers , network management engineers not only increases the intensity of the work , the credibility of the rules is not high . In order to solve the bottleneck problem , consider data mining technology , and association rules respective advantages and can be integrated , this paper studies the data mining technology , and association rules combination alarm correlation analysis method . In this paper, based on theoretical studies , the combination of alarms related to the realization of Taizhou telecom data network management system , to clarify the actual alarm correlation analysis of association rules , proposed the handmade custom association rules , and the application of association rule mining method for association rules model and alarm analysis system alarm data in the network management system for the data source , and applied to the mining part of the association rules , to verify the feasibility of mining association rules .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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