Building Data Warehouse and Data Mining with SQL Server 2000

刘爽英; 张静

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Building Data Warehouse and Data Mining with SQL Server 2000

更新时间：2026-09-14

- Building Data Warehouse and Data Mining with SQL Server 2000
- 基于SQL Server 2000的数据仓库和数据挖掘
- Issue 5, Pages: 322-324(2004)
- 作者机构：
  
  1. ,山西,太原,030051
  2. 华北工学院计算机科学与技术系,山西,太原,030051
- 作者简介：
- 基金信息：
- DOI：
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- Published：2004
- 稿件说明：
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刘爽英, 张静. Building Data Warehouse and Data Mining with SQL Server 2000[J]. 2004, (5): 322-324.
DOI：

刘爽英, 张静. Building Data Warehouse and Data Mining with SQL Server 2000[J]. 2004, (5): 322-324. DOI：

摘要

　Microsoft在SQLServer2000中第一次包含了数据挖掘功能.其数据挖掘解决方案基于OLEDB规范

为数据挖掘提出了一种新的类SQL语言

便于开发者更好地建立数据挖掘的应用.利用SQLServer2000去创建数据仓库

对关联规则数据挖掘经典算法Apriori进行改进和测试

在算法效率上得到明显提高.

Abstract

Microsoft SQL Server 2000 includes data mining function for the first time. The data mining solution is based on OLE DB specification

presenging a new SQL-like language for data mining. It can help database developers to build data mining application. The research is discussed in detail based on Apriori. An efficient method is put forward for building data warehouse and data mining application using SQL Server 2000.

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references

　AgrawalR,ImielinskiT,SwamiA.Miningassociationrulesbetweensetsofitemsinlargedatabases[M].Proceed-ingsof1993ACMSIGMODInternationalConferenceonManagementofData.Washington,DC,1993.207-216.

　范明,孟小峰.数据挖掘概念与技术[M].北京:机械工业出版社,2001.

　刘爽英,贺利坚.企业数据仓库设计方法研究[J].华北工学院学报,2001,(6):461-463.

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