| With the development of computer and network information technology, the Internet in an unprecedented impact affects people’s lives. E-commerce as a pioneer of the information age, now is showing even more vitality. Internet because of its efficient and convenient features that make it gradually shifted business cooperation to network business model. Information technology is now emerging as a global business activities brought a complete technical solution, changing the company’s management style and philosophy, so network application become an integral part of all industries development.Data mining is a combination product of numerical analysis method and computer software technology, its contents has machine learning, database technology, statistics and analysis, behavioral pattern recognition, support vector machine clustering and etc. Because it has a high additional value and wide range use in business analysis, currently data mining has become the focus of all kinds of research.E-commerce information is often hidden a variety of potentially useful data, therefore needs data collection statistical purposely, further analysis of data mining to extract knowledge. By this process it is possible to find correlation of things in the information set, predicted the products marketing state, by the features of customers in clustering selling.Above circumstances, we design an online e-commerce application platform based on ASP.NET technology. This system implements enterprise news announcements, product online search, online message consulting, contract review and order tracking, background management functions, by showing the company’s News&Bulletin on the Internet to establish a network, integration, personalization as one of the company’s image, customers understand the company’s products and services so that attract them to cooperation. Meanwhile embed statistical analysis module for the company’s products sold in the management which can automate regression forecast for product sales and product life cycle state analysis, adding additional value of the application platform, thus providing a scientific basis for the company’s e-commerce product marketing decisions. This e-commerce software uses B/S model, estable data tables for each entity relationship model and object; utilization Html, Css, JavaScript, Ajax, JqueryUI build user interface; using MongoDB distributed database achieved secure connection, data storage and access operations; use Map/Reduce technology to complete statistical data related to product sales, product life-state analysis, sales of short-term forecasting; finally imply a cross-regional and platform, Easy operate, fully functional, automated analysis products, scalable and maintainable e-commerce application platform. |
