本文關(guān)鍵詞： 電子商務(wù) 數(shù)據(jù)挖掘 產(chǎn)品生命狀態(tài)分析 銷(xiāo)量預(yù)測(cè) ASP.NET　出處：《廣東工業(yè)大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著計(jì)算機(jī)與網(wǎng)絡(luò)信息技術(shù)的發(fā)展,互聯(lián)網(wǎng)正以前所未有的沖擊力影響著人們的生活。電子商務(wù)作為信息時(shí)代的先鋒代表,現(xiàn)已顯示出越來(lái)越旺盛的生命力。互聯(lián)網(wǎng)因其高效與便捷的特點(diǎn),使人們從商務(wù)合作方式逐漸轉(zhuǎn)向網(wǎng)絡(luò)商務(wù)模式,如今新興電子信息技術(shù)為全球商務(wù)活動(dòng)帶來(lái)完整的技術(shù)方案,轉(zhuǎn)變了企業(yè)的經(jīng)營(yíng)方式與經(jīng)營(yíng)理念,使得網(wǎng)絡(luò)應(yīng)用成為各行各業(yè)不可或缺的發(fā)展方向。 數(shù)據(jù)挖掘是數(shù)值分析方法與計(jì)算機(jī)軟件技術(shù)相結(jié)合的產(chǎn)物,其內(nèi)容有機(jī)器自主學(xué)習(xí)、數(shù)據(jù)庫(kù)技術(shù)、數(shù)理統(tǒng)計(jì)分析、行為模式識(shí)別、支持向量機(jī)聚類(lèi)等。因其在商業(yè)分析方面有很高的附加價(jià)值與廣泛的應(yīng)用范圍,目前數(shù)據(jù)挖掘已經(jīng)成為各類(lèi)研究的焦點(diǎn)之一。 電子商務(wù)信息中往往隱藏各種有潛在使用價(jià)值的數(shù)據(jù),因而需要對(duì)數(shù)據(jù)進(jìn)行有目的的收集統(tǒng)計(jì),進(jìn)一步對(duì)數(shù)據(jù)挖掘分析,從中提取知識(shí)。通過(guò)這一過(guò)程就有可能發(fā)現(xiàn)在信息集合中的事物相關(guān)性、預(yù)測(cè)產(chǎn)品的營(yíng)銷(xiāo)狀態(tài)、按客戶(hù)的特點(diǎn)進(jìn)行針對(duì)的聚類(lèi)銷(xiāo)售。 基于上述情況,本文設(shè)計(jì)了基于ASP.NET技術(shù)的在線電子商務(wù)應(yīng)用平臺(tái)。這個(gè)系統(tǒng)實(shí)現(xiàn)了企業(yè)新聞公告、產(chǎn)品在線搜索、網(wǎng)上留言咨詢(xún)、審查和訂單合同跟蹤、后臺(tái)管理等功能,通過(guò)展示公司的新聞公告及相關(guān)產(chǎn)品信息,在互聯(lián)網(wǎng)上樹(shù)立網(wǎng)絡(luò)化、集成化、個(gè)性化為一體的公司形象,使客戶(hù)了解公司產(chǎn)品和服務(wù),吸引其合作。同時(shí)為企業(yè)的產(chǎn)品銷(xiāo)量方面管理嵌入統(tǒng)計(jì)分析模塊,并能自動(dòng)化的對(duì)產(chǎn)品銷(xiāo)量回歸預(yù)測(cè)與產(chǎn)品生命周期挖掘分析,增添本應(yīng)用平臺(tái)的附加價(jià)值,從而為電子商務(wù)公司的產(chǎn)品營(yíng)銷(xiāo)決策提供科學(xué)依據(jù)。 本電子商務(wù)軟件采用B/S模式三層架構(gòu),根據(jù)各實(shí)體對(duì)象建立數(shù)據(jù)表關(guān)系模型：使用MongoDB分布式數(shù)據(jù)庫(kù)實(shí)現(xiàn)數(shù)據(jù)的安全連接、存儲(chǔ)和訪問(wèn)操作；利用Html、 Css、JavaScript、Ajax、JqueryUI搭建用戶(hù)交互界面；分別以Visual Studio2012與C#為開(kāi)發(fā)工具及開(kāi)發(fā)語(yǔ)言；完成產(chǎn)品銷(xiāo)售相關(guān)數(shù)據(jù)的統(tǒng)計(jì)、產(chǎn)品生命狀態(tài)分析、銷(xiāo)量短期預(yù)測(cè)；最終實(shí)現(xiàn)一個(gè)能跨地域、跨平臺(tái)、易操作、功能完整、產(chǎn)品自動(dòng)分析、可擴(kuò)展維護(hù)的電子商務(wù)應(yīng)用平臺(tái)。
[Abstract]:With the development of computer and network information technology, the Internet is affecting people's life with unprecedented impact. E-commerce is the vanguard representative of the information age. It has shown more and more vigorous vitality. Because of its high efficiency and convenience, the Internet has gradually changed from the mode of business cooperation to the mode of network commerce. Nowadays, the new electronic information technology has brought the whole technology scheme to the global business activities, changed the management mode and management idea of the enterprise, and made the network application become the indispensable development direction of all kinds of industries. Data mining is the result of the combination of numerical analysis method and computer software technology. Its contents include machine autonomous learning, database technology, mathematical statistical analysis and behavior pattern recognition. Because of its high additional value and wide application in business analysis, support vector machine clustering has become one of the focuses of research. The electronic commerce information often hides various kinds of data which have the potential use value, therefore needs to carry on the purposeful collection statistical to the data, further to the data mining analysis. Through this process, it is possible to find the correlation of things in the information set, predict the marketing state of the products, and carry out the clustering sales according to the characteristics of the customers. Based on the above situation, this paper designs an online e-commerce application platform based on ASP.NET technology. This system realizes enterprise news announcement, product online search, online message consultation. Review and order contract tracking, background management and other functions, through the display of the company's news announcements and related product information, in the Internet to establish a network, integration, personalization as one of the company image. To enable customers to understand the company's products and services, attract their cooperation. At the same time for the enterprise's product sales management embedded statistical analysis module, and can automate the product sales volume regression prediction and product life cycle mining analysis. The added value of this application platform can provide scientific basis for the product marketing decision of e-commerce company. The electronic commerce software adopts the three-tier structure of B / S mode, and establishes the data table relational model according to each entity object: the MongoDB distributed database is used to realize the secure connection, storage and access operation of the data; The user interface is built by using HtmlCssScriptScriptAjax-JqueryUI. Visual Studio2012 and C # are used as development tools and language respectively. Complete product sales related data statistics, product life state analysis, sales volume short-term forecast; Finally, an e-commerce application platform that can cross-region, cross-platform, easy to operate, complete function, automatic analysis of products, extensible and maintainable.
【學(xué)位授予單位】：廣東工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP393.09

【引證文獻(xiàn)】

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相關(guān)碩士學(xué)位論文 前1條

1 潘剛;大數(shù)據(jù)應(yīng)用與實(shí)踐[D];吉林大學(xué);2015年

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本文編號(hào)：1480893