数据挖掘技术被用于分析个人的购买习惯。
Web数据挖掘如何助益我的生意？
php中的数据挖掘：可能的方法。
数据挖掘——对百万条记录进行搜索。
数据挖掘是包含许多技术的多学科领域。
Data mining is a multidisciplinary field with many techniques.
数据挖掘有很多实际应用。
Web数据挖掘从何而来？
数据挖掘过程是怎样的？
什么是Web数据挖掘？
XML的方言相当广泛地用于数据挖掘目的。
XML-based dialects are used quite extensively for data mining purposes.
未来，数据挖掘是否会代替偶然观测的发现？
Could data mining soon replace serendipitous observational discovery?
本文讨论了两种数据挖掘算法：分类树和群集。
This article discussed two data mining algorithms: the classification tree and clustering.
要调用数据挖掘，首先要将数据写到一个表中。
Data mining is invoked by first writing the data into a table.
什么是数据挖掘？
从此以后，谷歌意识到他们是在做数据挖掘业务。
From then on Google realised it was in the data-mining business.
表1列出并描述了一些典型类型的数据挖掘聚集。
Table 1 lists and describes some typical types of data-mining clustering.
数据挖掘是从大量的数据中萃取知识的一种科学。
Data mining is the science of extracting such knowledge from large amounts of data.
运行数据挖掘模型要比将数据载入模型简单得多。
It's much easier to run the data mining model than to load the data into it.
数据挖掘所面临的挑战在于数据的维数及其容量。
The challenge of data mining is dealing with the dimensionality of the data and the volume of it.
我们希望能够回答您所有关于数据挖掘的初级问题。
We hope to answer all of your initial questions about data mining.
请在下个月继续关注本系列以了解分布式数据挖掘。
Tune in to this series to learn about distributed data mining next month.
数据挖掘绝非大公司的专有，也不是多昂贵的软件。
Data mining isn't solely the domain of big companies and expensive software.
必须谴责瞄准乘数效应的数据挖掘和错误分析工作。
Blame data mining and bad analysis for multiplier sightings, Barro says.
可以用这种方式触发各种各样的高级数据挖掘规则。
All sorts of advanced data-mining rules can be triggered in this way.
这一需要导致数据挖掘系统以公共的方式操作数据。
This requirement leads a data-mining system to operate on the data in a common manner.
如何将数据挖掘的结果交付给需要它的分析师和雇员？
How can the results of data mining be delivered to analysts and employees who need it?
日志中的信息越多，您所能实现数据挖掘就越强有力。
The more information in the log, the more powerful the data mining you can achieve.
分布式数据源数据挖掘的第一个问题是发现。
The first issue with data mining of distributed data sources is discovery.
文本挖掘就是用于从文本中提取信息的数据挖掘技术。
Text mining is data mining applied to information extracted from text.
那么，您如何能让您和您的公司跟上数据挖掘的大潮呢？
So, how do you get you and your company on board the data-mining bandwagon?
应用推荐