数据挖掘技术在零售业领域中的应用研究

【作者】 孙杰；

【导师】 姜继忱；

【作者基本信息】 东北财经大学 ， 企业管理， 2003， 硕士

【摘要】 随着信息技术的飞速发展，零售企业积累了大量的历史数据，但由于缺乏有力的分析工具，使得重要的决定常常不是基于数据库中丰富的数据，而是基于决策者的直觉，因此建立决策支持系统，提高决策者高效的数据分析能力的研究就十分重要。数据挖掘技术是近几年发展起来的数据组织和分析的新技术。如何将数据挖掘技术应用在零售业领域正是本文研究的重点问题。 本文首先对数据挖掘技术做了减少介绍，探讨了数据挖掘技术的概念以及数据挖掘常用技术、数据挖掘发现知识的分类、数据挖掘流程和数据挖掘工具等。其次对零售业领域业务特点及目前零售业IT应用现状做了分析。第三，重点讨论了零售业领域实施数据挖掘项目的具体应用，分析了数据挖掘技术在零售业领域的应用形式，实施步骤及零售业实施数据挖掘项目应该注意的问题。最后结合笔者目前实际工作介绍了一种数据挖掘模型在零售业领域的具体应用。更多还原

【Abstract】 With the rapid progress of information technology, a large amount of historical data has been accumulated in retail enterprise. Ironically, important decisions are often made on the intuition of decision makers, instead of the abundant data source. Hence, how to build Decision Support Systems, which can provide excellent data analysis function, has become more and more important. Dataming, a promising technique, is efficient in data analysis. Thus this paper will illustrate the research on application of dataming techniques in the field of retail business.This paper makes a simple introduce about dataming at first. It mainly probes into the concept of dataminig technology, the knowledge classifications of dataminig and the datamining tools etc. Secondly, it analyses the characteristics of business process and the current application of IT in retail business. Thirdly, it especially discusses the implements of datamining application in retail business. It analyses the application forms of datamining technology in the field of retail business, the steps of implement in retail business and the questions should be noticed when implementing datamining technology. Combining author’s present working experience, the paper finally recommends one kind of concrete application of datamining model hi the field of retail business.更多还原