Online Bookstore E-commerce Based On Association Rule Mining Research And Design

With the popularity of the Internet and Application, more and more information will be exchanged through the Internet, 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.The online bookstore is also its large number of varieties, convenient access, relatively cheap, broke through time and space superiority, and so has attracted readership. Needs to buy books online bookstore is the most important needs of readers. To know and meet the needs of users completely, it is necessary to develop a set of online bookstore management information system. Large amounts of data From the E-commerce system to be saved by the database. In an increasingly competitive environment and knowledge-based economy, 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. Data Mining plays an important role in the online bookstore system. By using data mining to mine orders and the relationship between different books and 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, the thesis studies and designs association rules theoretically and practically based on the online bookstore system as well as data mining of association rules, Apriori algorithm and the direction of improving it. Based on the characteristics of on-line bookstore, Mining Association Rules in the choice of method were compared to determine the system used by the algorithm. The entire system based on Browser / Server database application of the three-tier architecture. The system use .NET and SQL Server 2000 as 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.