The Application & Research Of Data Mining In The Telecom Comprehensive Operation

For a long time, large and detailed data of telecommunications enterprises has only been applied in simple operational systems without being used more effective. With increasingly fierce competition in the telecommunication market, how to use these data to support decision and develop telecommunication business for the telecommunications industry become a focus. Therefore, it is necessary for the enterprises to establish a comprehensive business support system, which was aimed at the features of mulriple telecommunication business and the short update cycle. The system uses warehouse technology to convert larges numbers of telecommunication data into reliable and commercial information for decision, and based on data warehouse the system should be able to analyze the multidimensional data, data mining and modeling analysis. So it can help enterprise to decide its policy objectives, recognize problems, learn about its management situation understanding business and its customers. This will help decision makers to invest or develop new products and other business decisions reasoningly.This thesis mainly did some research of data warehouse and data mining technology in the telecommunications industry and its business analysis application of the theory and practical application. And it firstly systemic described those theory and technology about warehouse, data mining and DSS, which mainly introduced their concept and characteristic, system structure, method, tools, etc. The subject which discussed for the paper was carried on the knowledge preparation; Next, in this article, it united the DaTang Corporation and Longshine Corporation, carries on the conformity for various departments level data, and unified the various operational channel data, proposed constructs the telecommunication enterprise level comprehensive service support system model realization method and mainly technical points for the realization of the telecommunication synthetical service operation support system, in the opportunity of setting up the implementation enterprise level telecommunication synthetical service support system for Hubei Telecom; And thirdly, according to the research of the technology of data mining algorithms--apriori classical algorithm, it analysed those massive historical data of telecom operation and the correlation between data mining. Attained from the business development and consumer behavior related to the core client information, identify potential consumer groups, consumption characteristics for a wide range of enterprise managers at different levels of management and decision support, which could gain a foothold in the fierce market competition;Finaly, it did some analysis for those HuBei Telecom PHS with the improved data mining algorithm, and got an available improved result---which could reduce large change for the support and believe theshold value change's reason in the traditional relationship algorithm. So it could make it possible for those few customers' data mining.