| With the rapid development and popularization of Internet application, browsingand querying Web sites have become one of important way of getting information. As ahuge resource for information nowadays, the number of internet page is already morethan40billion, and being in rapid geometric growth, in which there is a lot of valuableinformation. Today, Web has become a great resource for information. Because theInternet Web technologies have so fast pace of development,various kinds ofinformation can be acquired on the network at a very low price. How to use the datamining technologies to search and acquire useful information on Web has become a hotresearch field in the data mining. Studying of Web Mining Data Acquisition algorithmsand techniques is helpful to the Website motivational strategy implementation.The main works in the thesis are as follows: First we study the related technologiesof data mining, current situation and development prospects. Second, we set up twokinds of analysis mode used for the data mining:(i) Clustering method based on geneticalgorithm (GA) model,(ii) Established a correlation model based on comprehensivebuyer’s interested in books. Third, we design of the system platform integration foronline bookstores. selling books system function is divided into the books managementsubsystem, management for Orders and Customer Information subsystem, Useroperating system module includes: customer login and registration, Query book list,Shopping Cart Management, Orders Submition, Book reviews and book appointment,Books recommended etc.. Bank management modual is responsible for funds. Thisthesis completed the design of online book-store system for applying purchase bookwith internet.This thesis is based on data mining technology for books selling design anddevelopment system，including interface intuitive and humanization，customer readilyoperation, and the personalized service.The results have certain practical value andtheoretical significance. |
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