什么是数据挖掘？
How does the data mining process look like?
数据挖掘过程是怎样的？
We hope to answer all of your initial questions about data mining.
我们希望能够回答您所有关于数据挖掘的初级问题。
Text mining is data mining applied to information extracted from text.
文本挖掘就是用于从文本中提取信息的数据挖掘技术。
Tune in to this series to learn about distributed data mining next month.
请在下个月继续关注本系列以了解分布式数据挖掘。
Thus, the birth of data mining technology.
于是，诞生了数据挖掘技术。
Clustering is a basic form of data mining.
聚类是数据挖掘的基本方法之一。
Clustering is an important data mining form.
聚类是一种重要的数据挖掘形式。
Classification is an important problem in data mining.
分类是数据挖掘领域中的一个重要研究课题。
Text mining is an important research field of data mining.
文本挖掘是数据挖掘的一个重要研究领域。
Association rule mining is an important task of data mining.
关联规则挖掘是数据挖掘研究的一个重要方面。
Mining association rules is an important part of data mining.
关联规则的发现是整个数据挖掘课题中的重要组成部分。
Cluster analysis is one of the important themes in data mining.
聚类分析是数据挖掘的一个非常重要的研究分支。
Decision tree is a convenient and practical method for data mining.
决策树方法是数据挖掘的一种方便而实用的方法。
This has become one of the main applications of data mining techniques.
这是数据挖掘技术的重要应用领域之一。
Nowadays, data mining plays an important role in medical data analysis.
数据挖掘对医学数据分析具有非常重要的意义。
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。
With data mining, you can solve business problems by analyzing corporate data.
借助数据挖掘技术，的确可以通过分析公司数据来解决业务问题。
You can express each rule found in the data mining as a merchandising association.
您可以将在数据挖掘中发现的每条规则表示成商品销售关联。
Financial prediction is an important research field in financial data mining.
金融预测是金融数据挖掘的一个重要研究方向。
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。
Cluster analysis is an important research problem in the domain of data mining.
在数据挖掘领域中，聚类分析是一项重要的研究课题。
The combination of customer relation management and data mining is a trend now.
客户关系管理与数据挖掘技术的结合已成为一种发展趋势。
Fuzzy rough set theory is an important method for data mining of uncertain data.
模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。
Research on time series data mining is one of important hot spots 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。
The emergence of data mining provides strong technical support for the urgent need.
数据挖掘的出现为这一需要提供了有力的技术支持。
Decision tree is an important method for data mining as well as induction learning.
决策树是数据挖掘和归纳学习的重要方法。
There has been much interest recently on personal privacy preservation in data mining.
目前数据挖掘中的个人隐私保护问题受到越来越多的重视和研究。
Financial data mining is one of the most challenging research directions in information society.
金融数据挖掘是信息社会中一个极具挑战性的研究方向。
The paper introduces the basic principles of data mining and its application in medical science.
介绍了数据挖掘的基本原理以及在医学领域的应用。
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