What is the translation of " THE DATA MINING " in Chinese?

• 数据挖掘

Examples of using The data mining in English and their translations into Chinese

Another big hitter in the data mining sphere is Oracle.
数据挖掘领域的另一大巨头是甲骨文。

The data mining and data warehousing techniques are parts of a data management system.
数据挖掘和数据仓库技术是数据管理系统的一部分。

KDD is the top conference in the data mining area.
KDD是国际数据挖掘领域的顶级会议。

Many new features extend the data mining and analysis capabilities of Analysis Services.
许多新功能扩展了AnalysisServices的数据挖掘和分析功能。

This defines a crucial characteristic of the data mining process.
这里定义了数据挖掘过程的一个关键特征。

Also check out the Data Mining for the Masses by Matthew North.
也可以参阅MatthewNorth的面向大众的数据挖掘DataMiningfortheMasses。

How will you evaluate the results of the data mining analysis?
您将如何评估数据挖掘分析的结果？?

The data mining parameters include Sequence or Path Analysis, Clustering, Classification and Forecasting.
其他数据挖掘参数包括序列或路径分析，分类，聚类和预测。

The last step is the evaluation of the data mining model.
最后一步是评估数据挖掘模型。

Many more people would consider the data mining you have previously described a significant invasion of privacy.
更多的人会认为你之前描述的数据挖掘严重侵犯了隐私权。

Should we expect technological change to change the data mining process?
我们是否应该期望因技术的改变而改变数据挖掘过程?

Do you want to make predictions from the data mining model, or just look for interesting patterns and associations?
您要通过数据挖掘模型进行预测，还是仅仅查找受关注的模式和关联？?

Business knowledge is central to every step of the data mining process.
第二，知识律：业务知识是数据挖掘过程每一步的核心.

For example, one Midwest grocery chain used the data mining capacity of Oracle software to analyze local buying patterns.
例例如，一个中西部杂货连锁店使用Oracle软件的数据挖掘能力来分析当地的购买模式。

The advantage of visual data exploration is that the user is directly involved in the data mining process.
可视化数据探索的优势是用户直接参与数据挖掘过程。

If the data mining and statistical software listed above doesn't quite do what you want it to, learning R is the way forward.
如果上述数据挖掘和统计软件无法处理你想处理的任务，学习R是出路。

Only business knowledge can bridge the gap, which is why it is central to every step of the data mining process.
只有业务知识才能弥补这种缺失，这是业务知识为什么是数据挖掘过程每一步骤的核心的原因。

In summary, without business knowledge, not a single step of the data mining process can be effective; there are no“purely technical” steps.
总之，没有业务知识，数据挖掘过程的每一步都是无效的，也没有“纯粹的技术”步骤。

Their different understandings of the problem to be tackled all need to meld to deliver a common pathway for the data mining project.
他们对待解决问题的不同理解需要融合，为数据挖掘项目提供一条共同途径。

Accessing the data mining results is as simple as using an SQL-like language called Data Mining Extensions to SQL, or DMX.
访问数据挖掘结果非常简单，通过使用一种与SQL相似的语言即可（称为DataMiningExtensionstoSQL或DMX）。

The organization can then build the data entry application to use the data mining model for real-time data entry validation.
组织然后就可以构建数据输入程序，使用数据挖掘模型进行实时数据输入验证。

The data mining software processes the information so as to regulate the data in either cost cutting or for an increase in revenue or both.
数据挖掘软件处理信息，以便在成本削减或收入增加或两者兼有的情况下调节数据。

The association between a symptom and the five biological parameters was established by the data mining method and it reached an accuracy of~80%.
症状与五个生物参数之间的关联由数据挖掘方法和它达到∼80%的准确性。

The data mining features in SQL Server 2005 make the creation of intelligent applications easy thanks to a very powerful but simple API.
SQLServer2005中的数据挖掘功能具有一个非常强大却甚为简单的API，这使得创建智能应用程序非常简单。

The information collection, information preparation and therefore the result interpretation and coverage don't seem to be a part of the data mining steps.
数据收集，数据准备以及结果解释和报告不是数据挖掘步骤的一部分。

The data mining, he says, is non-consumptive: a technical term meaning that researchers don't read or display large portions of the works they are analysing.
他认为这种数据挖掘属于非消费型该术语意味着研究者不能阅读或展示他们所分析文章的大部分内容。

Ask business experts to review the results of the data mining model to determine whether the discovered patterns have meaning in the targeted business scenario.
请求商业专家查看数据挖掘模型的结果，以确定发现的模式在目标商业方案中是否有….

For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system.
举个例子，进行数据挖掘操作时可能要把数据分成多组，然后可以使用决策支持系统以获得更加精确的预测结果。

The data mining functions like association, clustering, classification, prediction can be integrated with OLAP operations to enhance interactive mining of knowledge at multiple level of abstraction.
进一步讲，许多其它数据挖掘功能，如分类、预测、关联、聚集，都可以与OLAP操作集成，以加强多个抽象层上的交互知识挖掘。

The Data Mining Group(DMG) is an independent, vendor led consortium that develops data mining standards, such as the Predictive Model Markup Language(PMML).
TheDataMiningGroup(DMG)是一个由供应商为主导的独立联盟，致力于开发数据挖掘标准，比如PMML（PredictiveModelMarkupLanguage，预测模型标记语言）。