| 基于SQL Server 2000的数据挖掘实现 |
| |
| 引用本文： | Ebbe Ethmane,王建新.基于SQL Server 2000的数据挖掘实现[J].计算技术与自动化,2005,24(1):114-118. |
| |
| 作者姓名： | Ebbe Ethmane 王建新 |
| |
| 作者单位： | 中南大学信息科学与工程学院,湖南,长沙,410083 |
| |
| 摘 要： | 大型数据库中的可升级数据挖掘是当今数据库研究领域的难题之一。SQL Server 是当今最流行的数据库管理软件之一，所以很容易想到在SQL Server 2000上研究在数据挖掘实现方面的主要方法。讨论了通过使用像SQL Server Analysis Service这样的典型工具来如何实现数据挖掘，且为商业组织的决定挖掘出必要的数据。
|
| 关 键 词： | SQL Server 数据挖掘 Analysis Service 关系数据仓库 |
| 文章编号： | 1003-6199(2005)01-0114-052000 |
| 修稿时间： | 2004年9月10日 |
Implementation of Data Mining on SQL Server2000 |
| |
| Ebbe Ethmane,WANG Jian-xin.Implementation of Data Mining on SQL Server2000[J].Computing Technology and Automation,2005,24(1):114-118. |
| |
| Authors: | Ebbe Ethmane WANG Jian-xin |
| |
| Abstract: | Scalable data mining in large databases is one of today's real challenges within database research areas. Since SQL server is being one of the most popular and big software for managing databases, it came to mind to investigate and study the main methodologies in the implementation of data mining on SQL Server 2000. This paper, therefore, shows that through the usage of typical tool like SQL Server 2000 Analysis Services, how data mining can successfully be implemented and leveraged as a next step towards uncovering and discovering essential data for business decision making within a business organization. |
| |
| Keywords: | SQL server data mining analysis service |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
