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基于XML的汽车售后服务信息的数据挖掘模型

Data Model of Data Mining Based on XML about Services After-Sale in Vehicle Industry

【作者】 蒋渝

【导师】 王蔚韬;

【作者基本信息】 重庆大学 , 计算机应用技术, 2003, 硕士

【摘要】 数据挖掘技术的应运而生给整个社会带来了生机,也给汽车制造业带来了曙光。数据挖掘技术在福特公司已得到了很好的应用。本文是建立基于XML的汽车售后服务信息的数据挖掘模型。考虑到汽车售后服务信息所在的数据库都是按地理分布的,从整体上看是网络数据库。而且各个数据库系统中数据含义可能不一致;此外还有EDI系统(电子数据交换)。为了达到数据网络上的互操作。数据库之间的数据应遵守统一的文挡类型定义(A Document Type Definition, DTD)的XML文挡进行交换,以有利于互操作。该模型主要涉及三个方面:其一是基于XML的不同数据库之间的数据交换,建立相关的DTD; 其二是,使用数据挖掘技术进行客户分析;其三是使用数据挖掘技术中的序列模式挖掘技术获得产品使用情况和特殊规律的信息。接着本文提出了基于XML的汽车售后服务信息体系结构。建立了一个不同于星型的复杂数据的数据仓库模型,并进行了比较全面的分析,得到了相关的结论。再在此数据仓库的基础上进行基于序列模式的数据挖掘的实施。数据库的多年使用,汽车制造商和销售商都有大量的客户数据。在日益竞争激烈的汽车行业里,提高汽车售后服务水平,发现客户的需求和服务中的一些规律,将成为汽车制造商和销售商都关心和重视的问题。国外汽车的80%的利润是由售后服务得到,整车销售只占总利润的20%。而我国的利润大部分来源于整车销售,而售后服务只是作为一个整车销售的保障体系;同时由于销售整车终究受到市场容量的限制;所以,本研究有一定的实用价值及较大的发展空间。

【Abstract】 Nowadays Data Mining Techniques emerging as the times requires supply the whole society with vital force and the vehicle manufacturing industry as well, which are applied smoothly in Ford.This article sets up a model of Data Mining for the services after-sale of vehicles. Because the databases of the information about these vehicles are distributed geographically, it is a network database.as a whole. And the meanings of the data in different databases might be not consistent including EDI system. In order to manipulate the data among the databases each other it is required to comply with the uniform XML documents of Document Type Definition ( DTD). There are three aspects are involved in this model mainly. The First is the data exchange among different databases and setting up related DTD based on XML The second is taking clients analysis by using Data Mining technique. The third is finding the information of products use and special rules by using the sequence pattern mining in the Data Mining technique。Then the article also puts forword a framework of the information system based on the services after-sale. A data warehouse model has been established different from that of star-shaped and a comprehensive analysis has been carried through and the relative conclusion has been reached. Finally, as an example , the Data Mining has been bringed into effect based on the data warehouse by using the sequence pattern mining.Vehicles manufacturers and vendors all have large amount of clients’ data because of the long-term use of database. To improve the level of services after-sale and find out the clients’ demands and some rules in the serves in the vehicle industry will be the most important aspects. , The vehicles manufacturers and vendors will take into more and more consideration for the aspects above by reason of . the more and more drastic competition.The profits of overseas cars obtained by services after-sale accounts up 80%, and that obtained by whole vehicle sales. However, in China the large proportion of profits is from whole vehicle sales and services after-sale is just a guarantee system of whole vehicle sales. At the same time, the services after-sale has a large potentiality as whole vehicle sales are confined by market content.therefore,, this research is practical and will have a potent expanding space.

  • 【网络出版投稿人】 重庆大学
  • 【网络出版年期】2004年 02期
  • 【分类号】TP311.13
  • 【下载频次】332
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