数据挖掘技术在我国移动通信运营业的应用研究
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摘要
随着电信体制改革的深化，WTO的加入，我国移动通信运营业的竞争也日趋激烈。与其他行业相比，移动通信运营业拥有更多有关用户的数据。谁能正确地挖掘与分析隐含这些数据中的知识，谁就能更好地向用户提供产品与服务，能够发现更多的商机，从而在竞争中获胜。我们国内对这方面的研究还处于刚刚起步的阶段，国外在这方面已经大大地超前于国内。因此，数据挖掘在我国移动通信运营业中的研究有重要的应用价值。
本文重点研究了我国的移动通信运营企业如何开展及运用数据挖掘技术来提高其竞争力。本文没有对的数据挖掘理论及建模方法等作过多的阐述，也没有对数据仓库建设方面做过细的探讨，而是将重点放在数据挖掘模型的选择与设计上，在国外的已有研究的基础上，结合企业调研中企业的实际需要，提出了我国移动通信营业的客户价值、客户保持、客户细分、欺诈识别和促销方式选择等五个数据挖掘模型；并建立了网上的问卷调查系统来收集研究数据，在SASEnterprise Miner中对模型进行了验证与评价。
希望本研究能为加强与提高数据挖掘技术在我国移动通信运营业中的应用起到一点推动作用。
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.
本文重点研究了我国的移动通信运营企业如何开展及运用数据挖掘技术来提高其竞争力。本文没有对的数据挖掘理论及建模方法等作过多的阐述，也没有对数据仓库建设方面做过细的探讨，而是将重点放在数据挖掘模型的选择与设计上，在国外的已有研究的基础上，结合企业调研中企业的实际需要，提出了我国移动通信营业的客户价值、客户保持、客户细分、欺诈识别和促销方式选择等五个数据挖掘模型；并建立了网上的问卷调查系统来收集研究数据，在SASEnterprise Miner中对模型进行了验证与评价。
希望本研究能为加强与提高数据挖掘技术在我国移动通信运营业中的应用起到一点推动作用。
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.
引文
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