销量数据挖掘技术及电子商务应用研究

发布时间：2018-02-01 04:15

本文关键词： 电子商务数据挖掘产品生命状态分析销量预测 ASP.NET　出处：《广东工业大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着计算机与网络信息技术的发展,互联网正以前所未有的冲击力影响着人们的生活。电子商务作为信息时代的先锋代表,现已显示出越来越旺盛的生命力。互联网因其高效与便捷的特点,使人们从商务合作方式逐渐转向网络商务模式,如今新兴电子信息技术为全球商务活动带来完整的技术方案,转变了企业的经营方式与经营理念,使得网络应用成为各行各业不可或缺的发展方向。数据挖掘是数值分析方法与计算机软件技术相结合的产物,其内容有机器自主学习、数据库技术、数理统计分析、行为模式识别、支持向量机聚类等。因其在商业分析方面有很高的附加价值与广泛的应用范围,目前数据挖掘已经成为各类研究的焦点之一。电子商务信息中往往隐藏各种有潜在使用价值的数据,因而需要对数据进行有目的的收集统计,进一步对数据挖掘分析,从中提取知识。通过这一过程就有可能发现在信息集合中的事物相关性、预测产品的营销状态、按客户的特点进行针对的聚类销售。基于上述情况,本文设计了基于ASP.NET技术的在线电子商务应用平台。这个系统实现了企业新闻公告、产品在线搜索、网上留言咨询、审查和订单合同跟踪、后台管理等功能,通过展示公司的新闻公告及相关产品信息,在互联网上树立网络化、集成化、个性化为一体的公司形象,使客户了解公司产品和服务,吸引其合作。同时为企业的产品销量方面管理嵌入统计分析模块,并能自动化的对产品销量回归预测与产品生命周期挖掘分析,增添本应用平台的附加价值,从而为电子商务公司的产品营销决策提供科学依据。本电子商务软件采用B/S模式三层架构,根据各实体对象建立数据表关系模型：使用MongoDB分布式数据库实现数据的安全连接、存储和访问操作；利用Html、 Css、JavaScript、Ajax、JqueryUI搭建用户交互界面；分别以Visual Studio2012与C#为开发工具及开发语言；完成产品销售相关数据的统计、产品生命状态分析、销量短期预测；最终实现一个能跨地域、跨平台、易操作、功能完整、产品自动分析、可扩展维护的电子商务应用平台。
[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.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

【引证文献】