The Design And Implementation Of Online Bookstore Based On Data Mining

With the popularity of the Internet and Application, E-commerce as a new and efficient business model began to popularize. The development of online bookstores is the result of the blooming of Internet E-commerce in book industry. So, to know and meet the needs of users completely, it is necessary to develop a set of online bookstore management information system.However, Large amounts of data From the E-commerce system to be saved by the database, database does not limit itself to its general use such as query, outputting statements and so on, and it is also used to mine more useful knowledge from large quantities of data in order to support as decision. By using data mining to get orders and the relationship between different kinds of books by association rules. Data mining can also introduce some books for customers when they go shopping on-line so as to increase sales.Based on this situation, this paper designs association rules based on the online bookstore system as well as data mining of association rules. The entire system based on the Apriori algorithm and Browser/Server database application of the three-tier architecture. The system use.NET and SQL Server2000as a development platform, and introduces the whole plan of the on-line bookstore and the design of database. System features a total of three modules:on-line ordering system, library management system and personalized recommended subsystem, mainly introducing the design and realization of personalized recommendation system, Browse Books, For more information see the book, Book Management, shopping management and so on.