From then on Google realised it was in the data-mining business.
从此以后，谷歌意识到他们是在做数据挖掘业务。
All sorts of advanced data-mining rules can be triggered in this way.
可以用这种方式触发各种各样的高级数据挖掘规则。
Table 1 lists and describes some typical types of data-mining clustering.
表1列出并描述了一些典型类型的数据挖掘聚集。
Ruby and the Twitter gem make it simple to develop useful mash-ups or dashboards for your data-mining needs.
Ruby和Twittergem 允许您轻松开发有用的mash-ups或指示板，从而满足您的数据挖掘需求。
With Google's new Correlate system, companies have a powerful (and, free!) new data-mining tool on their hands.
通过Google新的Correlate系统，企业手头上会有一个强大(并且，免费！)的新数据挖掘工具。
This fact leads data-mining mechanisms to imply semantics to the data being processed to define a useful data model.
这一事实导致数据挖掘机制对正在被处理的数据隐含了一些语义，以便定义一个有用的数据模型。
Now that you're familiar with how to install and start up WEKA, let's get into our first data-mining technique: regression.
在熟悉了如何安装和启动WEKA 后，让我们来看看我们的第一个数据挖掘技术：回归。
Consumers of XML data returned from data-mining queries are often interested only in the data changes made since a previous query.
从数据挖掘查询返回的XML数据的消费者通常只对自上次查询以来发生的数据变化感兴趣。
For example, if you're running a large data-mining task, you might want to review the interim output and any errors that occurred during execution.
例如，如果您正在运行大型的数据挖掘任务，则可能要检查执行过程中的中间输出以及可能出现的任何错误。
Representing semi-structured data as an XML-based document requires a robust data-mining system to support XML consumption, manipulation, and output.
将半结构化数据表示为基于XML 的文档需要一个健壮的数据挖掘系统来支持XML消费、操纵和输出。
It also has a general API, so you can embed WEKA, like any other library, in your own applications to such things as automated server-side data-mining tasks.
它还有一个通用API，所以您可以像嵌入其他的库一样将WEKA嵌入到您自己的应用程序以完成诸如服务器端自动数据挖掘这样的任务。
Banks use this information to assess the risk of giving you a mortgage or loan, and they are legally allowed to use data-mining companies to check your website activity.
银行利用这些信息来评估给你按揭或贷款的风险，他们在法律上被允许使用数据挖掘公司来检查你的网站活动。
Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.
最后，本文探讨了第一个数据挖掘模型：回归模型(特别是线性回归多变量模型)，另外还展示了如何在WEKA中使用它。
What that means is something tweeted prior to a week and a half ago can never be retrieved via search.twitter.com. That's bad for users and it's definitely bad for data-mining.
也就是说你现在无法通过search.twitter.com搜索到一个半星期之前的东西，这对用户来说是个坏消息，也不利于数据挖掘。
Now the systems are being linked, and companies are using data-mining techniques to get a complete picture of their operations - "a single version of the truth", as the industry likes to call it.
现在，这些系统都被连在了一起，而且商业公司都使用数据挖掘技术以获得他们运作的一幅完整图景——“事实的唯一版本”——业界乐于赋予其的称呼。
Data mining is used to analyse individuals' buying habits.
数据挖掘技术被用于分析个人的购买习惯。
In the previous two articles in this "data mining with WEKA" series, I introduced the concept of data mining.
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。
Data mining has many practical USES.
数据挖掘有很多实际应用。
Data mining is a multidisciplinary field with many techniques.
数据挖掘是包含许多技术的多学科领域。
Could data mining soon replace serendipitous observational discovery?
未来，数据挖掘是否会代替偶然观测的发现？
Data mining is the task of finding useful information in large datasets.
数据挖掘是一项从大型数据集中发现有用信息的任务。
This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法：分类树和群集。
This data must be collected and transformed to enable it for data mining.
这种数据必须在收集后进行转换，使之能用于数据挖掘。
Data mining in PHP: Possible ways.
php中的数据挖掘：可能的方法。
Databases, reporting, data mining, and synchronization are all going to be offered.
数据库、报表、数据挖掘和同步等都会被交付。
Can also be used to log messages for audit or for subsequent data mining.
还可以用于将消息记入日志，以供审核和后续数据挖掘之用。
Data mining - perform search over millions of records.
数据挖掘——对百万条记录进行搜索。
Large, complex data sets escalate traditional data mining techniques to new levels of processing demand.
大型、复杂的数据集将传统的数据挖掘技术推向新层次的处理要求。
The dealership wants to increase future sales and employ data mining to accomplish this.
这个经销店想要增加未来的销售并部署了数据挖掘来实现此目标。
How can the results of data mining be delivered to analysts and employees who need it?
如何将数据挖掘的结果交付给需要它的分析师和雇员？
应用推荐