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。
Data mining in PHP: Possible ways.
php中的数据挖掘：可能的方法。
Data mining has many practical USES.
数据挖掘有很多实际应用。
Data mining - perform search over millions of records.
数据挖掘——对百万条记录进行搜索。
Then, see how to invoke data mining dynamically from Cognos.
然后，再来看看如何从Cognos动态调用数据挖掘。
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？
XML-based dialects are used quite extensively for data mining purposes.
XML的方言相当广泛地用于数据挖掘目的。
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。
Blame data mining and bad analysis for multiplier sightings, Barro says.
必须谴责瞄准乘数效应的数据挖掘和错误分析工作。
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。
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 isn't solely the domain of big companies and expensive software.
数据挖掘绝非大公司的专有，也不是多昂贵的软件。
The first issue with data mining of distributed data sources is discovery.
分布式数据源数据挖掘的第一个问题是发现。
Table 2 lists and describes some of the more common dialects used in data mining.
表2列出并描述了数据挖掘中使用的一些比较常见的方言。
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。
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？
All data mining functions are invoked just as usual SQL commands, as you will see below.
所有数据挖掘函数都是作为常规的SQL命令来调用的，后面您将看到这一点。
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。
And it also illustrates how it can be combined with structured databases and data mining.
它还演示了如何组合结构化数据库和文本挖掘。
You also looked briefly at existing standards for using XML in the context of data mining.
还简单了解了关于在数据挖掘上下文中使用XML的现有标准。
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。
But broadening data mining to include analysis of social networks makes new things possible.
但是，使用社会网络分析进行更加广泛的数据挖掘会使新的事物成为可能。
For additional ways to increase your knowledge about data mining, plan to check the Resources.
关于增加您的数据挖掘知识的其他方法，请参阅参考资料。
You can add reports that take advantage of all the data mining techniques we've learned so far.
您可以添加充分利用了我们到目前所学的全部数据挖掘技术的报告。
However, for the average user, clustering can be the most useful data mining method you can use.
不过，对于一般的用户，群集有可能是最为有用的一种数据挖掘方法。
That may leave you with the impression that data mining is something only big companies can afford.
这会为您留下一种印象，即只有大公司才能负担得起数据挖掘。
This last article will discuss the last of the four common data mining techniques: Nearest Neighbor.
本文将讨论四种常用的数据挖掘技术中的最后一种：最近邻。
They are roughly analogous to your most popular products that you can determine without data mining.
他们与您不用数据挖掘就能决定的最受欢迎的产品有些相似。
Data mining processes apply algorithms to data to uncover patterns matching a given context or query.
数据挖掘过程向数据应用算法，以揭露匹配某个给定上下文或查询的模式。
应用推荐