Design And Implementation Of Automatic Growth Of Sichuan Mobile Traffic Management Ecosystem

The current development of mobile Internet is in full swing, the requirements for user traffic increase with the years, whether it is a wide variety of applications,, have become everyday travel, an essential communication tool. These have to flow as a basis for app. Thus, for the majority of mobile operators, how to do marketing flow, profitability and promote the rapid development of traffic, it is an important issue under the current background.In this paper, the problems and challenges faced by Sichuan Mobile, the use of Big Data technologies and data mining theory, the customer demand, data analysis, data modeling systematic research, and eventually formed a prototype system for traffic marketing provides technical reference. By implementing the present systems, Sichuan Mobile can use data mining techniques to achieve an effective self-growth based on the user’s smart choice to achieve development flow marketing.In this paper, in strict accordance with the basic ideas and methods of software engineering, detailed system requirements analysis, system design realization pregnant. System design in accordance with the main processes and ideas of software engineering. First, the system software needs analysis, software design and overall architecture level design data, given a specific function modules, the last non-functional requirements analysis system. In terms of implementation of large data and data mining theory, combined with in-depth study of specific cases. First, the technical architecture big data analysis and specific strategies. Then use the basic methods of data mining by specific problems and adjust the mode of operation of traffic operations. Finally, there is a specific technology, from data modeling, association rules designed to refinement of the program design was elaborated. Using data mining theory, user data mining tools to dig through large data processing tools distributed hadoop and clementine data, accurate portraits that depict the user. In this paper, Sichuan Mobile as the research object, drawing big data and data mining technology, theory, analysis of the actual situation in Sichuan Mobile flow from operations, cause analysis of problems. Analysis of the strengths and weaknesses in a large data flow from growth driven by the system, as well as the opportunities and threats may face.Through this system design can effectively mobile operators to automate the flow of the marketing process, greatly improving the efficiency of business operations, cost savings, and automated marketing model designed to improve the efficiency of enterprises. By implementing the present systems, Sichuan Mobile can use data mining techniques to achieve an effective self-growth based on the user’s smart choice to achieve development flow marketing.