【作者】 张喆；

【导师】 张润彤；

【作者基本信息】 北京交通大学 ， 工商管理， 2011， 硕士

【摘要】 本文通过对电子商务企业Web数据挖掘和数据仓库的研究,探讨一种灵活、低成本的数据挖掘体系的构建模式。通过相关资料收集、工作经验的总结,分析国外成熟的自顶向下构建数据挖掘体系的过程,研究近来出现的自底向上构建数据挖掘体系的理论,结合目前国内电子商务公司的需求和Web数据挖掘的不足,特别是分析实际工作中的数据挖掘相关的经验。指出了数据仓库和数据挖掘所需要的服务器环境；提出了项目模块和公共外键的概念,并以这两个概念为核心设计了全新的“自底向上”的数据仓库构建模式；围绕目前电子商务公司关心的核心数据提出了三种数据挖掘模式：个性化网页定制系统、数据库巡检系统、未注册用户行为分析系统,并且这三种系统设计的思想都是以本文设计的数据仓库为基础的。本文设计的灵活、低成本的自底向上的Web数据挖掘系统是可行的、适合电子商务公司的,有利于电子商务公司分析自身经营情况和运营情况。更多还原

【Abstract】 Based on the e-business Web data mining and data warehousing research, this paper explores a flexible, low-cost data mining system building model.Through the relevant data collection and experience, analysis of mature foreign top-down process of building a data mining system, to study the recent emergence of bottom-up theory of building a data mining system, combined with the needs of domestic e-commerce companies and Web data mining inadequate, particularly in the analysis of actual work experience related to data mining, the article points out what computing-resource environment is required by data warehouse and data mining system; proposed two concepts of project module and the public foreign keys, which are the core design of the new "bottom-up" of the Data Warehouse model; according to the core data which e-commerce company concern designed three modes of data mining:a personalized web page customization system, database inspection system, unregistered user behavior analysis system, and the idea of these three systems are based on the new model of data warehouse building.This design of flexible, low-cost bottom-up Web data mining system is feasible for e-commerce company, will help companies analyze their own e-commerce operations and operating conditions.更多还原