What is the translation of " 数据挖掘 " in English?

• data mining
• data exploration
• data-mining
• data discovery
• data extraction

Examples of using 数据挖掘 in Chinese and their translations into English

这些技术对于数据挖掘是具有实用价值的。
These techniques are useful for data exploration.

数据挖掘的未来.
The future of data extraction.

数据挖掘是构建预测模型的必然部分。
Data exploration is an inevitable part of building predictive model.

社交网站数据挖掘与分析.
Social media website data extraction and analysis.

数据挖掘和问答技巧可以使AI有时几乎成为人类。
Data-mining and question-answering skills can make AI appear almost human at times.

社交媒体数据挖掘帮助企业收集关键信息。
Mining data in social media helps businesses gather crucial information.

国际数据挖掘.
Data Mining International.

社交媒体数据挖掘：尚未开发的潜力.
Data mining social media: Twitter's untapped potential.

这是数据挖掘世界的一个著名例子。
(This is a famous example in the world of data mining.).

云计算数据挖掘社会算自然用户界面移动.
Cloud Computing Data Mining Social Computing Natural User Interface Mobile.

这样，你将获得数据挖掘的多维视图。
In this way, you will gain a multidimensional view of data mining.

社交媒体数据挖掘：Twitter潜力正待开发.
Data mining social media: Twitter's untapped potential.

数据挖掘系统可以仅仅发现有趣的模式吗?
Can a data mining system generate only the interesting patterns?

社交媒体数据挖掘帮助企业收集关键信息。
Data mining social media can help businesses gather crucial information.

尽管如此，数据挖掘也有自己的圈。
Despite that, Data Mining also has its own circle.

什么是数据挖掘一个良好的分类准确度？?
What is a good classification accuracy in data mining?

数据挖掘系统能够仅产生有趣的模式吗？”?
Can a data mining system generate only the interesting patterns?

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

让我们来了解一下数据挖掘与机器学习的差异。
Get a clear understanding of the difference between data mining and machine learning.

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

数据挖掘跨行业标准过程.
Cross Industry Standard Process for Data Mining.

CRISP-DM跨行业数据挖掘标准流程.
CRISP-DM cross-industry standard process for data mining.

数据挖掘系统能够产生所有有趣的模式吗?
Can a data mining system generate only the interesting patterns?

数据挖掘和数据仓库过程的技术是不同的。
The techniques of data mining and data warehousing processes are different.

这使我们能够确定数据挖掘的一些关键原则。
This leads us to identify some key principles for data mining.

数据挖掘也有助于取消可能损害企业的活动。
There's also the potential for data mining to help eliminate activities that can harm businesses.

数据挖掘.
Datasets for Data Mining.

下一步是构建数据挖掘模型。
The next step is the construction of a data mining model.

的技术，就称之为数据挖掘。
The technique is called data capture.

所有三位专家共同提供数据挖掘项目至关重要。
It is critical that all three experts come together to deliver a data mining project.