So, how do you get you and your company on board the data-mining bandwagon?
那么，您如何能让您和您的公司跟上数据挖掘的大潮呢？
This requirement leads a data-mining system to operate on the data in a common manner.
这一需要导致数据挖掘系统以公共的方式操作数据。
Then, it put forward a new idea of evaluating patent value with data-mining technology.
在现有专利工作的基础上提出了利用数据挖掘技术对企业专利价值评估的新思路。
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。
什么是数据挖掘？
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。
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。
Data mining is invoked by first writing the data into a table.
要调用数据挖掘，首先要将数据写到一个表中。
Data mining is the science of extracting such knowledge from large amounts of data.
数据挖掘是从大量的数据中萃取知识的一种科学。
The more information in the log, the more powerful the data mining you can achieve.
日志中的信息越多，您所能实现数据挖掘就越强有力。
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。
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。
How does the data mining process look like?
数据挖掘过程是怎样的？
It's a bad data mining model for this data.
对于这类数据，分类树是一种极不适合的数据挖掘模型。
Data mining is about digging up interesting information from this high-dimensional data.
数据挖掘便是要从高维数据中挖出那些令人感兴趣的信息来。
Data mining, however, usually works best with the lowest level of detail available.
然而，数据挖掘通常在可用的最低细节级(levelof detail)工作得最好。
什么是Web数据挖掘？
How Will Web Data Mining Benefit My Business?
Web数据挖掘如何助益我的生意？
Where Did Web Data Mining Come From?
Web数据挖掘从何而来？
In the New File Data mining flow wizard, type a name for the mining flow.
在NewFileData MiningFlow向导中，输入挖掘流的名称。
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。
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。
Up to now, data mining field is highly dispersive and there is no open standard.
到目前为止，数据挖掘行业是高度分散的，没有形成开放性的标准。
On the base of statistics, the bayes network is a method of data mining.
贝叶斯网络以统计学为基础，是数据挖掘技术的一种方法。
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。
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。
Clustering is a basic form of data mining.
聚类是数据挖掘的基本方法之一。
We propose a data mining model based on clustering and rough set.
提出了一种基于聚类和粗糙集的数据挖掘模型。
Clustering is an important data mining form.
聚类是一种重要的数据挖掘形式。
Thus, the birth of data mining technology.
于是，诞生了数据挖掘技术。
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