基于數(shù)據(jù)挖掘技術(shù)的購(gòu)物網(wǎng)站設(shè)計(jì)與實(shí)現(xiàn)畢業(yè)論文(已修改)

　

【正文】 I 題目類型： 設(shè) 計(jì) (設(shè)計(jì)、論文、報(bào)告 ) 桂林理工大學(xué) GUILIN UNIVERSITY OF TECHNOLOGY 本科畢業(yè)設(shè)計(jì) (論文 ) 題目： 基于數(shù)據(jù)挖掘技術(shù)的 購(gòu)物網(wǎng)站設(shè)計(jì)與實(shí)現(xiàn) II 摘 要 隨著信息化時(shí)代的來(lái)臨，對(duì)人們的傳統(tǒng)生活方式產(chǎn)生了巨大的沖擊，越來(lái)越多的人選擇了網(wǎng)上購(gòu)物，然而，在電子商務(wù)蓬勃發(fā)展與廣泛應(yīng)用的同時(shí)，所有電子商務(wù)決策者們都面臨著一個(gè)棘手的問(wèn)題：如何在不涉及用戶隱私的情況下對(duì)網(wǎng)站上的海量信息進(jìn)行挖掘，并將挖掘結(jié)果應(yīng)用于電子 商務(wù)決策支持，以此來(lái)提升電子商務(wù)競(jìng)爭(zhēng)力。 WEB 數(shù)據(jù)挖掘技術(shù)應(yīng)運(yùn)而生， WEB 數(shù)據(jù)挖掘作為電子商務(wù)系統(tǒng)的一項(xiàng)重要應(yīng)用技術(shù)，為電子商務(wù)公司的商業(yè)決策提供強(qiáng)有力的支持。但是目前國(guó)內(nèi)的大多數(shù)中小型電子商務(wù)企業(yè)，其電子商務(wù)發(fā)展還不是很完善，對(duì) WEB 數(shù)據(jù)挖掘技術(shù)與電子商務(wù)結(jié)合為電子商務(wù)提供決策支持方面，無(wú)論是理論研究還是應(yīng)用研究都還不是很完善。基于此，本文主要從應(yīng)用的角度將 WEB 數(shù)據(jù)挖掘技術(shù)與中小企業(yè)電子商務(wù)結(jié)合進(jìn)行探討和研究。并根據(jù)現(xiàn)有的網(wǎng)上購(gòu)物系統(tǒng)的現(xiàn)狀而設(shè)計(jì)開發(fā)的電子商務(wù)平臺(tái)。它不但可以擴(kuò)大商家的規(guī)模和市場(chǎng)影 響力，而且可以減少企業(yè)的經(jīng)營(yíng)成本，提高工作效率。 本系統(tǒng)主要為用戶提供了 用戶 注冊(cè)，購(gòu)物車管理，商品搜索， 商品推薦，個(gè)性化頁(yè)面， 用戶資料修改等功能，為管理員提供了商品管理，用戶信息管理，新聞信息管理，廣告鏈接管理等功能。在設(shè)計(jì)方面，本系統(tǒng)采用 B/S 三層結(jié)構(gòu)，同時(shí)使用 JSP 技術(shù)進(jìn)行動(dòng)態(tài)頁(yè)面的設(shè)計(jì)，從系統(tǒng)的安全性和代碼的可重用性方面考慮，運(yùn)用 JavaBeans 對(duì)程序的關(guān)鍵代碼進(jìn)行封裝。后臺(tái)數(shù)據(jù)庫(kù)選用 MS SQL server 數(shù)據(jù)庫(kù)。 關(guān)鍵詞： 電子商務(wù) ； 購(gòu)物網(wǎng)站 ； 數(shù)據(jù)挖掘 ； JavaBeans III Based on data mining technology shopping site Student: Qin Liquan Teacher: Chen Xiaohui Abstract： With the advent of the information age， the traditional way of life made a huge impact， more and more people choose an online shopping， however， With the quick development and wide application of emerce， all decisionmakers in charge of this face the following tricky issue： how to mine the enormous WEB information available for emerce decisionmaking without violating users’ privacy？ This leads to the birth of WEB data mining technology which is an important application technology of emerce and provides strong support for decisionmakers． However， for many small and medium sized domestic emerce panies， their emerce is not well developed and they are quite weak at the theoretical study and application of bining WEB data mining and emerce to support decision making． This paper explores the bination of WEB data processing and emerce， It can not only enhance the scale of shopping centre and market influence， and can also reduce the enterprise running cost， improve work efficiency. The system has mainly provided users with the following functions: membership registration、 shopping car management 、 goods search、 Product remendation， personalized page 、 information modify etc. It has also provided managers with goods management、 customer information management、 news management 、 ad management and so on. It has been designed with B/S mode of threetier structure， JSP technology in dynamic page design. Considering from the security and reusing code of the system， key codes have been secured by JavaBeans technology. MS SQL server database has been used as the background database. Key words: emerce。 online shopping。 data mining。 JavaBeans IV 目錄 摘 要 ........................................................................................................................................... II Abstract： .................................................................................................................................... III 1 緒論 .......................................................................................................................................... 1 .................................................................................................... 1 國(guó)內(nèi)外研究現(xiàn)狀 .............................................................................................................. 1 課題的目標(biāo) ..................................................................................................................... 2 研究思路 ........................................................................................................................ 2 本章小結(jié) ........................................................................................................................ 3 2 相關(guān)技術(shù)及開發(fā)工具 ................................................................................................................. 4 JavaBeans ...................................................................................................................... 4 MVC模式 ......................................................................................................................... 4 開發(fā)工具 ........................................................................................................................ 5 WEB數(shù)據(jù)挖掘 .................................................................................................................. 6 本章小結(jié) ........................................................................................................................ 6 3 需求分析及概要設(shè)計(jì) ................................................................................................................. 8 課題業(yè)務(wù)背景 ................................................................................................................. 8 目標(biāo)功能需 求分析 .......................................................................................................... 8 ........................................................................................................ 8 ........................................................................................................ 9 功能目標(biāo)分析 ....................................................................................................... 9 系統(tǒng)結(jié)構(gòu)分析 ............................................................................................................... 10 4 詳細(xì)設(shè)計(jì)及實(shí)現(xiàn)過(guò)程 ............................................................................................................... 12 用戶注冊(cè)登陸 ............................................................................................................... 12 ............................................................................................... 14 .................................................................