Data Mining Technology In China's Mobile Communications Business Of Applied Research, | | Posted on:2003-08-03 | Degree:Master | Type:Thesis | | Country:China | Candidate:Z Q Luo | Full Text:PDF | | GTID:2206360092970809 | Subject:Business management | | Abstract/Summary: | PDF Full Text Request | | With the telecommunication system reform development and our entrance of WTO,the competition of mobile telecommunication operation is becoming fiercer. Compared with other industry,mobile communication operation has more data about customer. Who can mine and analyse the knowledge contained in the data correctly will offer product and service to customer better and find more opportunities,thus win the competition. Our domestic research on this field is still at infancy,abroad's has already been superior to mine greatly. So,there is important practical value in the research on data mining of our mobile telecommunication.This thesis mainly researches on our mobile telecommunication operation how to launch and use data mining to raise its competitive advantage. This thesis has not discussed much on data mining theory and the modeling method,etc. Nor has the construction of data warehouse. We put focal point on the choice and design that the model of data mining,on the basis of the already studies of abroad and the actual needs of mobile telecommunication company. Five data mining models of our mobile telecommunication operation are putted forward:Customer Value Model,Customer Retention Model,Fraud Detection Model,Customer segment Model and Best Promotion Method Model. An online survey system was set up to collect research data,and SAS Enterprise Miner was used to test and appraise these models.Hope this thesis will have an impetus to the using of data mining in our mobile telecommunication. | | Keywords/Search Tags: | Mobile Telecommunication, Data Mining, Model, Customer Value Customer Retention, Fraud Detection | PDF Full Text Request | Related items |
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