【作者】 邵玉祥；

【导师】 陈先桥；

【作者基本信息】 武汉理工大学 ， 计算机应用技术， 2003， 硕士

【摘要】 随着社会的发展，社会的组织化程度和生产的社会化程度越来越高，信息量越来越大，对信息的处理工作越来越重要。90年代初才起步的数据仓库(DW)技术采用全新的数据组织方式，对大量的原始数据进行各种处理并转换成有用的信息，用户可以通过分析这些信息从而作出策略性决策。 联机分析处理(OLAP)与数据仓库有着密切的联系，它是数据仓库的验证型分析工具。它将分析决策所需的大量数据从传统的操作环境中分离出来，清理、转换成集成的、统一的信息，帮助决策者进行及时、有效的分析、判断和预测，获取更多的经济效益。 数据挖掘(DM)作为20世纪末刚刚兴起的数据智能分析技术，由于其所具有的广阔应用前景而备受关注。作为数据库与数据仓库研究与应用中的一个新兴的富有前途的领域，数据挖掘，常常也被称为数据库知识发现(KDD)，它可以从数据库、数据仓库或多维数据集，以及其它各种数据库的各种类型数据中，自动抽取或发现出有用的模式知识。 本文首先系统介绍了数据仓库的特点、国内外发展动态、体系结构，并结合连锁销售决策支持系统(RSDSS)研究了数据仓库的设计方法和步骤，创建了连锁销售数据仓库及其OLAP多维数据集，对数据挖掘技术在连锁销售决策支持系统中的应用进行了深入的研究，探讨各种知识发现方法，以及研究如何将数据仓库和OLAP等方法有效地结合在一起，应用于具体的科研和实际领域中。 然后，在认真研究了市场营销中连锁销售经营模式后，提出了基于数据库技术的数据仓库、联机分析处理、数据挖掘三种技术相结合的连锁销售决策支持系统的新型解决方案，即DW+OLAP+DM→DSS的可行方案。 最后，针对市场营销中连锁销售业务的具体实践应用，实现了连锁销售决策支持系统(RSDSS)软件的研究、开发及应用，该系统具有一定的现实意义和比较广泛的应用前景。更多还原

【Abstract】 Along with the development of society, the organizational level of society and the social level of producing are more and more higher and there are much more information than before. So how to handle the information is an important task. The data warehouse (DW) technology that emergence at the 90’s uses the completely new data organizational method to handle the large number of initial data and change them into useful information, then user can make decision by analysis the information.The technology of online analysis processing (OLAP) is close with the data warehouse, and it is the certification and analysis tool of data warehouse. It separates the data for analysis and decision from the operating environment of tradition and changes it into integrated and unified information, and by this means to help persons to make immediate and validate decision and get even more economic benefit.The data mining (DM) technique that has risen at the end of the 20th century has received much attention by widely application foreground, and it often also being called the Knowledge Discovery in Database (KDD), it can finds out pattern knowledge from database, data warehouse or the multidimensional data set.This paper first introduces the characteristic of data warehouse, its development trend in home and abroad and its architecture, and then studied the design method and step for building a data warehouse conjunct with the Relative Sale Decision Support System (RSDSS), creates a relative sale data warehouse and its multidimensional data set, and then researches deeply the application of data mining in Relative Sale Decision Support System. This paper also studies how to use the data warehouse technique and the OLAP method together effectively.Having studied the relative sale managing model in the marketing, this paper gives a new settlement for relative sale decision support system which is based ontechniques of database based data warehouse, online analysis processing and data mining. That is a feasible settlement of DW+OLAP+DM-DSS.Finally, this paper realizes the software of RSDSS against the work of relative sale in marketing. This system has some practical meaning and extensive foreground.更多还原