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Research And Application Of Data Analysis Technology Used In The Mobile Communication Network

Posted on:2010-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:H Q LuFull Text:PDF
GTID:2178360278465878Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In recent years, the telecommunications industry has deeply developed in China. After the restructuring of telecommunication business, the war of contesting customers will become more and more fiercely because three Telecom operators have step into all services age. It is important to use data resource and scientific method so that improve customer relations, upgrade the network quality, reduce operating costs, improve network utilization and increase customer satisfaction. meanwhile, with the development of technology of data analyse , its importance is obviously , and the field of its application and research is more and more extensive. Especially,the method of data analyse always are hot technology in the telecommunication industry.Complexity of the space and Frequency,as well as mobility of Terminal, all of that lead to increased complexity of data analyse in the mobile network.This paper introduces different data analyse method, which use Different analytical foundation,analytical technolegy and obtain different results,in order to classcify and compare the advantages and disadvantages of these models . The main contents include:1. Introduced of the development of the data in telecommunications industry and the technology of data analyse, analyzed the necessity of the application of data analyse for mobile network. 2. Introduced different method for different data and the purpose of network and service, such as basic analysis, statistical Analysis, data mining, and characteristic Analysis.3. Described the main procedure in the research in details: the source and arrangement of data, the construction of the models, the comparison of capabilities and results between these models.
Keywords/Search Tags:BOSS Data, OMC Data, Data analysis, Statistic analysis, Data Mining, Characteristic analysis
PDF Full Text Request
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