Data cleansing is an important step both in data warehousing and data mining.
数据清洗是数据仓库和数据挖掘中非常重要的一个环节。
This paper aims to discuss about data warehousing and data mining, the tools and techniques of data mining and data warehousing as well as the benefits of practicing the concept to the organisations.
这篇论文旨在讨论数据仓库和数据挖掘，数据挖掘工具和数据仓库技术对组织概念的实践也有好处。
This paper aims to discuss about data warehousing and data mining, the tools and techniques of data mining and data warehousing as well as the benefits of practicing the concept to the organisations.
本文旨在讨论数据仓库和数据挖掘的概念、数据挖掘和数据仓库的工具和技术以及组织实践的概念。
DB2 UDB ESE with DPF is ideal to manage OLAP, data warehousing, and data mining workloads.
具有DPF功能的DB 2UDBESE是管理OLAP、数据仓库和数据挖掘工作负载的理想选择。
With a research of the existing architecture model of DSS based on data warehousing and OLAP, we present a new DSS model that combines data mining and middle ware techniques.
研究目前常用的基于数据仓库和OLAP的决策支持系统模型，提出了在原有系统上结合数据挖掘技术和中间件技术的决策支持系统模型。
With a research of the existing architecture model of DSS based on data warehousing and OLAP, we present a new DSS model that combines data mining and middle ware techniques.
研究目前常用的基于数据仓库和OLAP的决策支持系统模型，提出了在原有系统上结合数据挖掘技术和中间件技术的决策支持系统模型。
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