DB2 DWE integrates core components for warehouse administration, data transformation, and data mining, as well as OLAP analytics and reporting.
DB 2DWE集成了用于仓库管理、数据转换、数据挖掘以及OLAP分析和报告的核心组件。
Thus, if the data warehouse is used for data mining, a low level of detailed data should be included in the model.
因此，如果数据仓库是用于数据挖掘的，就应该在模型中包含较低细节级(levelof detail)的数据。
InfoSphere Warehouse provides data mining functionality directly in the underlying DB2 database where the data resides.
InfoSphere Warehouse直接在存储数据的底层DB 2数据库中提供数据挖掘功能。
InfoSphere Warehouse design Studio is the Eclipse-based tooling platform used to design workload rules, data transformation flows, and analytical flows for data mining and text analytics.
InfoSphere WarehouseDesignStudio是基于Eclipse的工具平台，用于为数据挖掘和文本分析设计工作负载规则、数据转换流和分析流。
Data Mining, also referred to as Knowledge Discovery from database, is to abstract the potential, unknown and useful information or pattern from the large database or data warehouse.
数据挖掘，又称数据库中的知识发现，是指从大型数据库或数据仓库中提取隐含的、事先未知的、潜在有用的信息或模式。
This topic in development USES data warehouse and data mining technology.
本课题在开发中使用数据仓库及数据挖掘技术。
Based on introduction in database technology, the paper discusses the data processing technology of goods, especially the data mining technology applying in a high rack warehouse.
在介绍数据库技术的基础上，深入讨论了货物的数据处理技术，尤其是数据挖掘技术在立体仓库中的应用。
Take data warehouse as foundation, with the aid of on Line Analytical Processing and data Mining technology, the composition and design of enterprise Decision Support System are put forward.
本文以数据仓库为基础，与目前流行的联机分析处理、数据挖掘等技术相结合，提出了基于此的决策支持系统的设计。
The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS.
将数据仓库、OLAP、数据挖掘、模型库、知识库系统结合起来形成的综合集成决策支持系统是更高形式的决策支持系统。
The circumstances of rich data and lack of knowledge lead to the emergence of technology of data warehouse and data mining, and arouse the interests of people in various fields.
数据丰富而知识贫乏的状况导致了数据仓库和数据采掘技术的出现，引起了许多不同领域的人们的极大关注。
Several issues related with Tax decision making are studied and applied, including data warehouse(DW), online analyses and processing (OLAP) and data mining (DM).
笔者对涉及到税务支持的几个关键问题进行了理论探讨和实际应用，包括数据仓库（DW）的建立和组织、联机分析（OLAP）和数据挖掘（DM）。
Data warehouse and data mining technology is one hot problems of information technology research at present.
数据仓库和数据挖掘技术是目前信息技术研究的热点问题之一。
Data warehouse and data mining techniques are key factors of decision supporting system.
数据仓库和数据挖掘技术是决策支持系统的关键因素。
The data mining is a new technology that can distill hidden, predictive information from a large database or data warehouse.
数据挖掘是一种从大型数据库或数据仓库中提取隐藏的预测性信息的新技术。
From the point of view of data, this article discusses the concept of data driven decision support system, its connotation, as well as data warehouse, on line Analytical Processing and data mining.
从数据的观点出发，讨论了数据驱动的决策支持系统的概念及其内涵，对数据仓库、联机分析处理和数据挖掘等手段也进行了一定程度的讨论。
Moreover, we research the application of OLAP and data mining technology in the data warehouse.
并研究了OLAP及数据挖掘在该数据仓库中的应用。
Technology and application of data warehouse and data mining are discussed.
对数据仓库和数据挖掘技术及其应用进行了讨论。
This paper introduces the basic knowledge of data warehouse and its analytical tools: OLAP and data Mining.
介绍了数据仓库的基础知识，以及相关的分析工具：OLAP和数据挖掘。
This paper puts forward a higher education decision support system (DSS) based on the research of data warehouse, data mining technique and decision support system.
本文通过对数据仓库、数据挖掘技术和决策支持系统的研究，提出了基于数据挖掘的高校管理决策支持系统。
This article mainly studies the data warehouse and the technology structuring the telecom CRM system on the basis of data mining.
本文主要研究在数据仓库和数据挖掘的基础上构建电信CRM系统的技术。
This paper gives a comprehensive introduction about the basic ideas of data warehouse and data mining, key techniques, and the content of the main researches.
对数据仓库和数据采掘的基本概念、关键技术以及主要研究内容作了一个综合性的介绍，并讨论了数据仓库和数据采掘相结合的特点和发展潜力。
Based on the customer-centric data warehouse, several methods for customer data analysis, such as query and report, OLAP and data mining, are introduced.
基于建立的客户数据仓库，介绍了查询与报表、OLAP分析和数据挖掘等客户数据分析方法。
Based on data mining techniques in the data warehouse, this paper discusses how to obtain the information about products and customers effectively for the enterprise decision.
本文基于数据仓库中的数据挖掘技术，针对企业决策问题，讨论了如何有效地获取有关顾客信息及商品信息，以辅助决策者制定决策方案。
Data warehouse, data mining technology have growed up with the data contained in the information system becoming bigger and bigger.
数据仓库、数据挖掘技术正是在这种行业数据海量积累，客户数据分析需求增长的情况下应运而生的。
The main research of this text is to study data warehouse and data mining, and how to application.
本文主要研究数据仓库、数据挖掘等技术在电信行业经营分析中应用的相关理论和实际应用。
The system development for the data warehouse of oil exploration is based on POSC, data mining technique based on the data warehouse of oil exploration is also discussed.
根据POSC软件集成平台技术建立油气勘探数据仓库，并对基于油气勘探数据仓库的数据挖掘技术进行讨论。
This paper declares the logic and physical frames in software vocational education based on data warehouse and data mining, and introduces several methods of data mining in this system.
本文探讨了数据仓库和数据挖掘技术在软件职业教育的应用，其逻辑架构和物理架构的构建。并介绍了数据挖掘技术在其中的应用。
The ones that spoke of mainly are data warehouse and the data mart, OLAP and data mining, and show technologies in the front-ends.
主要谈到的是数据仓库和数据集市、联机分析处理和数据挖掘以及前端展示技术。
The author advocates establishing APMP industrial e-business platform, and billing data warehouse by using data mining.
本文提出了建立汽摩配行业商务平台，在数据挖掘基础上构架行业商务数据仓库。
The author advocates establishing APMP industrial e-business platform, and billing data warehouse by using data mining.
本文提出了建立汽摩配行业商务平台，在数据挖掘基础上构架行业商务数据仓库。
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