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。
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。
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 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。
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。
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）。
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。
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。
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 mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
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。
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。
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。
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。
This paper focuses on research of analytical CRM application in the commercial bank by using Data Warehouse and Data Mining in the fields of individual banking business application.
本文主要研究了我国商业银行分析型CRM，从数据仓库与数据挖掘技术的角度来分析个人银行业务客户关系管理。
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。
The related research aspect includes data warehouse and data mining technologies, construction of CRM systems and design of more effective data mining algorithms.
该领域包括对于数据仓库和数据挖掘技术的研究，CRM系统的构建，以及更加有效挖掘算法的设计等方面。
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。
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。
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。
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 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。
This arctical introduces the relevant knowledge of data warehouse and data mining, and gives a deep understanding of intense relation of data warehouse and data mining.
本文简述了数据挖掘和数据仓库的相关知识，探讨了数据挖掘和数据仓库之间的紧密关系。
It also includes the trends and application in data warehouse and data mining in current business communities.
它还包括在当前的商业社区中数据仓库和数据挖掘的趋势和应用程序。
This paper researches the application of data warehouse, OLAP and data mining techniques in water supply systems.
本文主要研究了数据仓库和数据挖掘技术在供水企业中的应用。
Logistics Information Data Warehouse model's successful construction and operation, provides a good analysis environment for Data Mining of the logistics theme.
物流信息数据仓库模型的成功构建和运行，为物流相关主题的数据挖掘提供了一个良好的分析环境。
This paper presents a primary trial of data warehouse and data mining technologies in water supply system from many aspects, such as theories, system model and implement technique.
本文从理论、系统模式和实施技术等方面对数据仓库和数据挖掘技术在供水系统中的应用进行了一次初步的尝试。
This paper presents a primary trial of data warehouse and data mining technologies in water supply system from many aspects, such as theories, system model and implement technique.
本文从理论、系统模式和实施技术等方面对数据仓库和数据挖掘技术在供水系统中的应用进行了一次初步的尝试。
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