The Design And Implementation Of Membership Card Information Management Based On Android

With the rapid development of mobile Internet technology,which makes the wisdom of life have become the mainstream of social development,and has strong processing power of mobile terminals will become a new medium to understand the world.The issuance of membership cards has improved people's lifestyle,and further increased the close ties between businesses and members.However,throughout the retail market of the membership card information management system,there are some questions,such as simple structure,single function and other issues.On the one hand in order to for the business to achieve comprehensive management to the membership information;and improve the work of personnel management more efficiency;as well as adopt the consumption data mining technology to analysis of user consumption intention,and provide personalized service for the users to attract more consumer,and also can provide reliable data for the analysis of market research,on the other hand,for the sake of the membership card users whenever and wherever can make it view and learn about the business information possibility.Based on the analysis of domestic and foreign about the system of membership card information management,and using data mining technology to designed and implemented the membership card information management system.This paper proposes the idea of developing an information management system of membership card with reasonable structure and perfect function.The system is mainly composed of server and mobile client,The server using Ali cloud server platform,and build LAMP operating environment,combined with the use of ThinkPHP framework to complete the implementation of the system background server;The mobile client adopts Android system,mobile terminal as the running platform,uses network communication programming and combines the xUtils framework to design and realize the development of the client.In the data analysis section,This paper adopted data mining technology and combining Apriori algorithm and improved K-Means algorithm,not only can provide recommendation for mobile terminal membership card users,also can adopt the membership consumption data explore the potential value of information data for business management,which can dynamically and scientifically adjust the marketing strategy for the business management personnel to promote the optimization of product categories,and increase enterprise sales,finally to maximize profits for the business enterprise.Through the test,it is proved that the system can meet the basic functional requirements of the subject design,and have more practical for the retail market,It also provides a reference for further expansion and development for the membership card information management system.And test the two algorithms before and after improvement on the Hadoop platform,compare and analyze from the speedup,the results show that the performance of the two improved algorithms are greatly improved.Through the functional design analysis of the membership card system for users and merchants,which shows that this designed and implemented of the application will be have good prospects for businesses or the vast membership card users.