Design And Development For Online Bookstore Of E-commerce Website On Data Mining

The online bookstore has attracted a large customer group because of its severaladvantagements, including quantity variety, convenient searching method, low prices aswell as the elimination of time and space limitations. Therefore, the book purchase demandfor the online bookstore is rather huge. It is necessary for us to develope an onlinebookstore management system to meet the big market requirement and satisfy users’demand. We could acquire large amounts of data from business websites. In the past, weonly use the basic functions of database, such as querying data and exporting the reports,Nevertheless, nowadays the analytical technology for big data is relatively mature, thus wecan find useful information from mass data to provide support for the decision-making. Ifthe data mining technology is applied to the online bookstore management, we could ableto analyze the orders, and then get the relationship between different sorts of books fromassociation rules analysis. According to the relational degree, the confidence level willshow on the website browse below the books, which are being viewed by customers.Therefore, the pageview of the relative books as well as the entire sales will both beincreased.From the views of theory and practice, this article associates and analyzes thesequence of online bookstore systerm. The whole system adopt.net and SQL server2008as development platform. The system introduces the integrated planning and the databasedesign of online bookstore. Besides, it also analyzes and predicts the customer’spurchasing behavior by using Business intelligence development studio of SQL server2008. The system includes browsing and purchasing history of books, and the bookrecommendation(the reconmended books are either from same author or the same type).The major functional modules include shopping module, user login and registrationmodule, administrator module and relative information module.