Research And Application About Individual Customer Recognition Model Based On Data Mining Technology

With the telecom restructuring and the issuance of 3G licenses, China's telecommunications market into the more intense competition in all business era. how to adapt to the increasingly fierce market competition has become the important issue in terms of the telecom business.Telecom industry restructuring, China Mobile is facing many pressures: how to respond to rapid technological development caused by the intricacies of the industry structure? How to run a self-developed, less mature, in the international arena,weak support for the TD standard? How to deal with "a dominant" situation by the plight of the asymmetric regulation? How to run the forthcoming full-service model?Traditional, simple statistics, use of data only for the surface data information between the data and not to dig more in-depth information, is not possible from such a mass of data and information to find solutions to complex problems in the law .By using data mining techniques to find the flow characteristics of individual clients and the law, and apply data mining techniques to build individual customer identification model, the main contents are: analysis and research of data mining technology in the mobile personal customer identification model in the application; study and preliminary recognition model to achieve the individual customers in the mobile business-related field of application; for C4.5 by changing the weight of the sample to deal with missing attribute values, using C4.5 of this characteristic, slight improvement on the C4.5 algorithm can be A variant algorithm based on cost-sensitive C4.5_cs, and this algorithm is applied to individual clients to identify the model; in the establishment of individual customers do not recognize model proposed index and found the rate of exchange index is applied to these two indicators Model, the before and after its application to do a comparative analysis C4.5_cs algorithm.This article is mainly based on China Mobile's existing management analysis system for the practical needs of China Mobile, the focus of the discussion of the decision tree algorithm, the business system from the mass of data, analysis of the flow characteristics of individual customers mining using decision tree algorithm C4.5_cscreate a personal customer identification model, and the rules generated using the model to achieve application of the model; model calls on the user characteristics and features of personal information mining and other analytical information to individual customers as the core communication loop matching algorithm, the user's full of lifecycle (access, growth, maturity, decline, loss of period), the period before to find the user access (free) the source and the drain after a period of (off-grid period) of the different fate, so that our users more in-depth understanding, so as to further understanding of the business staff provide help to retain customers and to provide support for precision marketing.