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。
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。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
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。
I would like to focus on bio-informatics, database and data mining technology.
我希望可以专注于生物信息学，数据库和数据挖掘技术。
And it also illustrates how it can be combined with structured databases and data mining.
它还演示了如何组合结构化数据库和文本挖掘。
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。
So, knowledge discovery and data mining are proposed with a new study field developed.
因此，知识发现和数据挖掘应运而生，成为一个新的研究领域。
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 model integrates one backup-restore and data mining module for the data of security audit.
该模型针对安全审计数据，融合了一个备份恢复和数据挖掘模块。
Classification is one of the most basic tasks during the biological statistics and data mining.
在生物统计以及数据挖掘中，分类预测是最基本的任务之一。
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。
The record-breaking MapReduce approach, he said, is useful in physics, cryptography and data mining.
他还介绍说，破记录的MapReduce方法在物理学，密码学和数据挖掘领域也是很有用的。
The knowledge release mode is also studied, which is characterized by process simulation and data mining.
还提出由过程模拟和数据挖掘为重要方法的知识发布模式。
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。
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。
This paper introduced the characters of surface defects of hot strips and data mining thesis briefly at first.
本文首先对热轧带钢表面质量缺陷发生的特点及数据挖掘理论进行了简单介绍。
The knowledge discovery and data mining tool display their strong points in handling the great capacity database.
知识发现及数据挖掘工具在处理海量数据库时显示了它们的长处。
Inspired by Person of Interest, an array of shows featuring artificial intelligence and data mining have been released.
受《疑犯追踪》的启发，一批主打人工智能和数据挖掘的电视剧接踵而来。
It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.
其本身就是一个空间知识发现和挖掘的过程，实质可归结为基于GIS的油气储层评价建模问题。
There are several techniques for data analysis that are in common use today: query and reporting, multidimensional analysis, and data mining.
目前，有几种常用的数据分析技术：查询和报表制作、多维分析以及数据挖掘。
Feature selection has abroad application in machine learning and data mining area, it is always applied as a primary pre-processing step.
属性选择通常作为一个主要的预处理步骤，在机器学习和数据挖掘领域有着广泛的应用。
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。
This paper mainly introduce a analysis of requirement and essential design of a supermarket Management System and data mining based on it.
本文主要介绍了“超市管理系统”的需求分析与具体设计，以及基于“超市管理系统”上的数据挖掘。
This provider implements both the OLE DB specification and the specification's extensions for online analytical processing (OLAP) and data mining.
该提供者实现了OLE DB的规范，以及联机分析处理(OLAP)和数据挖掘的扩展规范。
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become become issues.
对大型数据库进行数据开采时，数据抽取问题及数据库和开采算法的接口设计就变得十分重要。
Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.
决策表是一种特殊而重要的知识系统，在决策支持和数据挖掘等领域有着重要的应用。
This article discusses the implication of this feature to warehousing environments, and application to solving OLAP and data mining problems is covered.
该文讨论了该功能对于仓库环境的隐含意义，并介绍了在解决OLAP和数据挖掘问题方面的应用。
All the post analysis of the information that we get when we run our processes are in fact closely related with Business analysis and Data Mining concepts.
而我们运行了业务流程之后所进行的一切信息分析的工作实际上与业务分析和数据挖掘概念紧密的联系在一起。
All the post analysis of the information that we get when we run our processes are in fact closely related with Business analysis and Data Mining concepts.
而我们运行了业务流程之后所进行的一切信息分析的工作实际上与业务分析和数据挖掘概念紧密的联系在一起。
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