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。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
These can be simple data mining software or highly specific for detailed and extensive tasks that will be sifting through more information to pick out finer bits of information.
他们可以是简单的数据挖掘软件，或者可以筛选更多信息去发现更精细的部分的为具体、扩展任务深度定制的软件。
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。
For many years, organizations have used data mining to analyze volumes of data so they can predict behavior, produce meaningful reports, overcome competition, and so on.
多年来，一些组织使用数据挖掘来分析海量数据，以便能够预测行为、生成有用的报告、赢得竞争，等等。
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。
These business-optimized services are free of advertising or customer data mining and are not consumer applications that have been repurposed for business.
这些针对业务进行优化的服务不需要进行宣传和数据挖掘，并且也不是针对业务重新改造的消费者应用程序。
Throughout the series, you discover how to manage and organize data and content, learn about distributed data mining, and find tips for analyzing and presenting information to users.
在本系列中，您将了解如何管理和组织数据与内容，了解分布式数据挖掘并学习分析信息并向用户呈现的一些技巧。
The benefits realized through data mining are creating a sharp rise in demand for more effective data mining techniques, technologies, and solutions.
通过数据挖掘认识到的益处是，激起了对更有效的数据挖掘技能、技术和解决方案的需求。
It makes money from customised link-shortening services for other firms and from mining the data about links that users create.
它通过为其它公司提供定制式的链接缩短业务，以及从用户创建的链接当中挖掘数据这两种方式赚钱。
Now, a University of Utah computer scientist has devised a new method for simpler, faster "data mining," or extracting and analyzing massive amounts of such data.
现在，犹他大学的计算机科学家设计出了一种新的方法，能简单快速地实施“数据挖掘”或提取与分析巨量数据。
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。
There are certainly complex commercial software products built for data mining, but, for the average person looking to start in data mining, there's a useful solution available that's open source.
当然，市场上还有很多更为复杂的数据挖掘商业软件产品，但对于刚开始进行数据挖掘的人来说，这种开源的解决方案非常有益。
Chen, who used to do search and data mining for Microsoft Asia Research Institute, then ran a statistical analysis and screened all the null accounts among his fans.
随后，曾在微软亚洲研究院从事搜索和数据挖掘研究工作的陈传亮通过统计分析，将粉丝中的那些无效帐号全部屏蔽掉。
I also talked about the first method of data mining - regression - which allows you to predict a numerical value for a given set of input values.
我还谈到了第一种数据挖掘的方法—回归—使用它可以根据一组给定的输入值预测数字值。
DB2 DWE integrates core components for warehouse administration, data transformation, and data mining, as well as OLAP analytics and reporting.
DB 2DWE集成了用于仓库管理、数据转换、数据挖掘以及OLAP分析和报告的核心组件。
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。
DWE integrates core components for warehouse administration, data mining, OLAP and inline analytics and reporting.
DWE集成了用于仓库管理、数据挖掘、OLAP和内联分析和报告的核心组件。
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。
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。
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。
They can apply the data mining techniques for very large databases that they learn to research in the medical and biotechnology industries, along with many others.
他们能够将数据挖掘技术应用到医学和生物学领域中的大型数据库中。
This information "provides a rich resource for data mining, developing new services, and entering new commercial markets, like targeted AD campaigns," notes King.
这些信息“为数据挖掘、开发新服务和进入新的商业市场，例如目标广告活动，提供丰富的资源，”King提到。
Analytical CRM generally makes heavy use of data mining and other techniques to produce useful results for decision-making.
分析性CRM通常大量使用数据挖掘和其它技巧为决策提供有用结果。
InfoSphere Warehouse design Studio is the Eclipse-based tooling platform used to design workload rules, data transformation flows, and analytical flows for data mining and text analytics.
InfoSphere WarehouseDesignStudio是基于Eclipse的工具平台，用于为数据挖掘和文本分析设计工作负载规则、数据转换流和分析流。
InfoSphere Warehouse also includes a taxonomy Editor that categorizes dictionary entries in a taxonomy tree for use in data mining and OLAP.
InfoSphereWarehouse还包含一个TaxonomyEditor，它可以把词典条目分类为分类法树，可以供数据挖掘和OLAP使用。
This release adds support for new SQL Server 2008 data mining features including holdout and cross-validation, a new Document Model wizard, and improvements to existing wizards.
此版本添加了新的SQLServer 2008数据挖掘功能支持，包括维持和交叉验证、新的文档模型向导和对现有向导的改进。
The sheer volume of unstructured and semi-structured data found on the web and in internal data stores increases the need for intelligent and effective data mining.
web上和内部数据存储中非结构化和半结构化数据量的爆炸式增长，促进了对对智能且高效的数据挖掘的需求。
Cognos can invoke data mining and scoring dynamically by calling SQL stored procedures. This allows for the following.
Cognos可以通过调用SQL存储过程来动态地调用数据挖掘和评价。
Semi-structured data, primarily in the form of HTML, is enabling new prospects for mining data from the web.
半结构化数据（主要是HTML形式的）正在开创从web挖掘数据的新局面。
应用推荐