在这个“用WEKA进行数据挖掘”系列之前的两篇文章中，我介绍了数据挖掘的概念。
In the previous two articles in this "data mining with WEKA" series, I introduced the concept of data mining.
本文介绍了数据挖掘技术的概念、功能及其运作流程，并提出了在体育远程教育中使用数据挖掘技术建立个性化服务的模型。
This paper introduces data mining concept, function and operation flow, and put forward using data mining technique to build individuation service model in physical education distance education.
在了解CRM的概念和框架、数据挖掘的各种技术后，还必须了解数据挖掘在CRM中的应用流程和应用的业务领域。
We put forward data mining procedure and its application field among CRM after describing the conception and frame of CRM and various data mining technologies.
这篇文章首先介绍了数据挖掘的概念和处理模式，并分析了数据挖掘的功能和采用的技术方法。
The article introduces the concept and dispose model of data mining firstly, then analyzes the functions and technology of it.
本文介绍了数据挖掘的基本概念，说明了聚类是数据挖掘的一个很重要的功能。
Introduces the basic conception of Data Mining and explains the hierachical cluster is a main function of Data Mining.
对数据挖掘的概念以及数据挖掘的过程进行了介绍。探讨了数据挖掘技术在网络信息咨询系统中的应用。
The paper makes an introduction on the conception of data mining and its process, and discusses the application of data mining technology in library information seeking system.
本文介绍了数据挖掘、半结构化数据挖掘、XML的相关概念和研究现状，提出了一种面向XML的树型对象模型TOM。
The thesis introduces concepts and present research status about data mining, semi-structured data mining and XML, and produces an oriented-XML treelike object model named TOM.
本文首先讨论了数据挖掘的基本概念，国内外的研究现状，数据挖掘的应用，数据挖掘的过程以及数据挖掘的基本方法。
At the beginning the concepts, the research state in the world, the application, the process and the basic method of Data Mining are addressed.
本文介绍了数据仓库、知识发现以及数据挖掘的概念，详细分析了关联规则算法，时纳税人采用的主要违法违章手段之间的关联关系进行了数据挖掘。
In this article we introduced the concepts of DW, KDD and DM, analysed the association rules algorithm and used it into mining the association rules of kinds of tax offence.
对商务智能、数据挖掘的概念和两者的关系做了简要的描述，并对当前流行的数据挖掘算法做了介绍。
The paper describes the concepts and relationship of BI and data mining briefly, and introduces the popular data mining algorithm.
提出广义数据空间的概念，使得数据挖掘能够在数据库或数据仓库的不同部位或不同的抽象级别上，对数字数据或者文本数据进行挖掘，加强了决策分析的功能和灵活性。
A concept of broad sense data space was proposed so that DM can be made in different part and different abstract hierarchy in database and data warehouse, which enhances the functions and flexibility.
本文概括地介绍了数据挖掘的概念，中医药数据挖掘的特点，以及常见的数据挖掘方法在中医药领域的应用现状。
This paper gives a general introduction to data mining and the characteristics of TCM data mining and the current application of data mining in the field of TCM research.
介绍了数据挖掘技术的背景、概念、流程、数据挖掘算法，并阐述了数据挖掘技术的应用现状。
This paper introduces the background, concept and process of data mining technology and data mining algorithms, and elaborates the application actuality of data mining technology.
然后，研究了如何用概念描述和概念对比的数据挖掘方法描述和评估客户细分，这一工作是对在数据挖掘模块中使用聚类算法进行客户细分的完善和补充。
The emphasis of research is that how to describe and evaluate the refinement result of customer by two data mining methods - concept description and concept parallel.
本文首先介绍了数据挖掘技术的产生背景和研究现状，探讨了数据挖掘的相关概念、工作步骤和关键技术。
This article introduces data mining background and the current research to explore the concepts of data mining, working steps and key technologies.
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.
首先介绍了数据挖掘技术的概念，然后对数据挖掘系统的构成和数据挖掘的流程进行了分析，最后详细分析了数据挖掘的常用方法。
And then the Data Mining system and the process of Data Mining are analysed. At last some common methods of Data Mining are explained in detail.
从数据挖掘和数据仓库的基本概念入手，简要介绍了数据挖掘和数据仓库的特点和其研究的现实意义。
Firstly, the basic concepts of data mining (DM) and data warehouse are presented, and their characteristics and current significance are introduced.
然后给出了数据挖掘的概念和数据挖掘的一般过程。
Then, the paper gives the concept of Data Mining and general process.
主要是数据挖掘的概念，同时对数据挖掘进行了分类，简单的说明了数据挖掘技术、数据挖掘的过程及应用。
The data mining theories consist of such sections as the concept, classification, technique, procedure and application of data mining.
首先阐述了相关概念，接着提出了一种基于动态数据流挖掘的案例推理模型，其中动态数据流挖掘算法采用改进的数据流聚类算法。
This paper describes the relevant concepts and presents a model of CBR based on dynamic data stream mining, and gives an improved clustering algorithm of data stream.
然后在简要介绍产品质量管理和数据挖掘的基本概念的基础上，针对某一实际企业建立了数据挖掘数据集市模型；
Then gives a brief introduction of the basic concepts of quality management and data mining and builds a data set for mining.
其次探讨了数据仓库、数据挖掘的概念与结构，以及数据挖掘策略和数据挖掘技术在财务决策中的应用。
Next, the text has probed into the concept and the structure of data warehouse and data mining, as well as the application data mining strategy and data mining technology in financial decision-making.
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。
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。
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.
应用推荐