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The Application Research Of Data Mining In Telecom CRM

Posted on:2009-09-29Degree:MasterType:Thesis
Country:ChinaCandidate:S LiFull Text:PDF
GTID:2178360242475246Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
In recent years, with the increasingly improvement of market economy system, the market environment for telecom industry in our country becomes more and more reasonable, and the competition is increasingly drastic. Meanwhile, because of the economy globalization, market internationalization, and our entrance to WTO, there appears the demand of meeting the international standards in order to face the competition. This article analyzes the stinging competition position of telecom industry inside and outside China at present in detail. By knowing the current research on data mining in CRM telecom, it puts forward that keeping CRM well is one of the most important factors to improve the competitive capacity of telecom in the face of increasingly incandesce competition. In the face of customer data increasing explosively, data mining is the key to advance the decision-making efficiency in telecom CRM. It is very necessary to take researches on data mining in telecom CRM.The contents of this article include three main aspects:Firstly, this article introduces the basic theories and knowledge about data mining in telecom CRM and the concepts of data mining and CRM.Then, the data mining methods and algorithms are researched on deeply, especially the association rules. It analyzes the Apriori algorithm which is one of the most common association rules algorithms in detail and find out the shortcomings of Apriori algorithm. The shortcomings mainly include two aspects which are spending many computer resources and energies in the update of association rule and data base. In order to overcome these shortcomings, this article put forward a new algorithm, which is based on the IUA algorithm. IUA is one of the algorithms on association rule update. And the new algorithm is proved more correct and efficient.At last, this article solves an example. The data is about customer operation data of a telecom. The example mines the relationship between several main operations of the industry and the influences between each other. Considering the actual facts of telecom enterprises, the application of telecom CRM on customer satisfaction and customer loyalty of telecom was discussed.
Keywords/Search Tags:data mining, CRM (customer relationship management), association rule, customer satisfaction, customer loyalty
PDF Full Text Request
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