本文通过向您介绍数据挖掘这个主题的背景以及这个领域的目标力求回答“什么是数据挖掘”这个问题。
This article strives to answer the question "what is data mining?" by giving you a background on the subject and introducing the goals of the field.
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.
通过数据挖掘认识到的益处是，激起了对更有效的数据挖掘技能、技术和解决方案的需求。
The benefits realized through data mining are creating a sharp rise in demand for more effective data mining techniques, technologies, and solutions.
当然，市场上还有很多更为复杂的数据挖掘商业软件产品，但对于刚开始进行数据挖掘的人来说，这种开源的解决方案非常有益。
There are certainly complex commercial software products built for data mining, but, for the average person looking to start in data mining, there's a useful solution available that's open source.
可以通过一个存储过程调用来调用数据挖掘，数据挖掘将在数据库中创建一个XML 挖掘模型。
Mining is invoked by a stored procedure call and creates an XML mining model in the database.
Mining管理：Mining管理使数据库支持数据挖掘，能够管理挖掘模型和管理缓存模型。
Mining administration: mining administration provides the capability to enable databases for mining, to manage the mining models, and to manage cached models.
挖掘和保持功能-挖掘和持有共同的指令记录和数据库中的名单意见，并选择数据库的屏幕。
Tap and hold functionality - tap and hold for common commands for records and databases in the List view and Choose database screens.
这样可以充分借鉴经典数据挖掘的方法和思想来实施对空间数据进行挖掘，获得较高的效率和满意的结果。
In this way, we can make use of good methods and ideas in classical data mining to discover spatial knowledge under well-pleasing result.
数据挖掘是当今国际人工智能和数据库研究的新兴领域，而关联规则的更新是数据挖掘的一个重要研究内容。
Data mining is a new emerging area for the research of artificial intelligence and databases, in which incremental updating of association rules is an important research topic.
只要遵循该平台的数据模型接口和挖掘模型接口，新的数据挖掘算法可以很容易地集成到该平台中去。
New data mining algorithms can easily be integrated into this platform if they comply with the data model interface and mining model interface of this platform.
数据挖掘就是从海量的数据中挖掘出可能有潜在价值的信息的技术。
The data mining is excavates from the magnanimous data possibly has the latent value information technology.
简要介绍了DM(数据挖掘)及其工作过程，并指出了数据挖掘过程中应注意的问题，最后给出了一个具体的数据挖掘的例子。
This paper introduces DM (data mining) and its work procedure, and then points out some problems which should be considered in data mining, finally gives a concrete sample of data mining.
目前时间序列的数据挖掘是数据挖掘的重要研究热点之一。
Research on time series data mining is one of important hot spots of data mining.
属性约简是数据挖掘预处理中非常重要的一步，它通过减少信息的维数提高数据挖掘算法的效率。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
离群数据挖掘是数据挖掘研究的一个重要分支。
Outlier data mining is an important embranchment in data mining research.
文本数据挖掘也不同于常规意义上的数据挖掘，常规数据挖掘是在数据库中发现感兴趣的模式，而文本数据挖掘是从自然语言文本中发现模式。
The difference between regular data mining and text mining is that in text mining the patterns are extracted from natural language text rather than from structured databases of facts.
在描述数据挖掘技术与方法基础之上，探讨了数据挖掘在数字图书馆中的应用空间以及其所具有的巨大应用价值。
This article discusses the practical space of data mining in digital library and its great value in digital library is also discussed.
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.
采用了属性构造法进行数据预处理，建立了数据挖掘模型，实现了关联规则算法，并对挖掘结果进行解释与分析。
A model of data mining is set up after preparation of data by means of attribute structure, and association rule algorithms are carried out. the data mining result is explained and analysed.
本文介绍了数据挖掘技术及其常用方法，并列举了数据挖掘技术在大学物理网络课程中的应用实例。
Data mining and the common methods are introduced, and application of data mining in college physical network course is illustrated.
因此，为挖掘特定类型的数据，应当构造特定的数据挖掘系统。
So, in order to excavate specific types of data, specific data mining system should be constructed.
介绍了数据挖掘技术和方法，研究了超市数据挖掘的基本程序以及数据挖掘在超市中的应用。
In this article the technique and approach of data mining are introduced, and its application to supermarkets is studied, which is an important part of Retailing.
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.
文章首先对数据挖掘进行了概述，阐明了什么是数据挖掘，为什么要数据挖掘，如何进行数据挖掘以及数据挖掘的主要过程。
Firstly, this paper comments data mining, explains what is data mining, why and how to do it, the main process of data mining and so on.
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.
人工智能技术，特别是神经网络技术与数据挖掘的结合为数据挖掘理论和方法的研究指出了一条新的道路。
The technique of artificial intelligence, especially the combination of neural network and data mining points out a new way for the research of data mining theories and methods.
面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。
Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.
面对大规模的、高维的数据，如何建立有效、可扩展的的聚类数据挖掘算法是数据挖掘领域的一个研究热点。
Facing the massive volume and high dimensional data how to build effective and scalable clustering algorithm for data mining is one of research directions of data mining.
面对大规模的、高维的数据，如何建立有效、可扩展的的聚类数据挖掘算法是数据挖掘领域的一个研究热点。
Facing the massive volume and high dimensional data how to build effective and scalable clustering algorithm for data mining is one of research directions of data mining.
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