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Association Rules Research And Applications In Telecommunications Alarm System

Posted on:2008-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y HuangFull Text:PDF
GTID:2208360215450067Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Alarm correlation system is an expertise system to analyze alarm data, which is an important part of telecommunication network management of alarm. However, it is difficult to acquire necessary knowledge to build an alarm correlation system of specific network because of its complexity. Data mining is a new means to find the knowledge of alarm information.There are lots of alarm data in telecommunication alarm database. A lot of usable information is contained in these data, which reveals the status of telecommunication network. Alarm data is very suitable for alarm correlation application and the result of application can be used to improve the fault management of telecommunication network.According to this situation, this paper proposes to use data mining technology for the analysis of alarm data. The main works and contributions in this paper are as follows:⑴The article firstly presents basic conceptions, correlated knowledge and actuality of communication management network. And introduces Telecommunication Alarm and TMN.⑵Secondly, this arcticle introduces the conception of data mining and Alarm mining briefly ,illustrates association rule mining algorithm in detail. While Apriori algorithm is used for data mining on alarm data, It will generate large number of candidate frequent itemsets. To avoid this weakness, we describe FP-Growth algorithm in association rule discovery in alarm data.⑶Lastly based on the research results, this article puts forward relative analysis model of alarm based on association rule mining algorithm, and model-based correlative alarm disposal mechanism. The whole process of data mining is also described in this paper, including data collection and preprocessing, rule discovery, rule post processing and application. Some resolutions are given for relative existing problem.It is feasible and significant that we use FP-Growth algorithm to implement data mining system on telecommunication alarm data through the analysis of algorithm and system result. In our country,it is not a long time to start the research and exploitation of local telecommunication integrated network management .And it is shorter to apply data mining to association rule analysis. So the research content and results have fine academic, technical and practical value.
Keywords/Search Tags:Telecommunication Alarm, Data Mining, Association Rule, FP-Growth Algorithm
PDF Full Text Request
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