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

• data mining tools
• data mining tool
• data-mining tools

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

数据挖掘工具爬取网站或社交媒体并生成数据。
Data mining tools scrape websites or social media and generate data..

很多数据挖掘工具都是独立应用程序，专为预测需求或识别关系而存在，其功能也就仅限于此。
Many data mining tools are stand-alone applications that exist for the purpose of forecasting demand or identifying relationships and their functionality stops there.

DataFerrett，数据挖掘工具，访问和操纵TheDataWeb，许多美国上线的电子政务数据集的集合。
DataFerrett, a data mining tool that accesses and manipulates TheDataWeb, a collection of many on-line US Goverment datasets.

为支持此类用户而构建了很多数据挖掘工具，但这些工具并不能方便地与其他应用程序集成。
The data mining tools were built to support such users, but not to easily integrate with other applications.

因此，选择正确的数据挖掘工具是一项非常困难的任务。
Therefore, the selection of correct data mining tool is a very difficult task.

Microsoft数据挖掘工具与传统数据挖掘应用程序有很大的不同。
Microsoft data mining tools are different from traditional data mining applications in significant ways.

SpagoBI是一个开源的商业智能套件，其中包括报告，图表和数据挖掘工具。
SpagoBI is an open source business intelligence suite that includes reporting, charting, and data-mining tools.

数据挖掘工具对于发现复杂的制造过程中的模型非常有用。
Data mining tools can be very useful to discover patterns in complex manufacturing process.

换句话说，公司运行数据挖掘工具，然后就查看结果。
In other words, companies ran a data mining tool and then looked at the results.

当数据挖掘工具运行于高性能的并行处理系统上的时候，它能在数分钟内分析一个超大型的数据库。
When data mining tools are implemented on high performance parallel processing systems, they can analyze massive databases in minutes.

该司还加强了审计技术的使用，开办了关于数据挖掘工具的复习课；.
The Division also strengthened the use of audit technology by running refresher courses on data-mining tools;

数据挖掘工具对于发现复杂的制造过程中的模型非常有用。
Data mining tools can be beneficial to find patterns in a complex manufacturing process.

数据挖掘工具(例如Oracle数据挖掘,IBMDB2智能挖掘),允许用户在大数据集中发现结构.
Data mining tools(e.g., Oracle Data Mining or IBM DB2 Intelligent Miner) to allow a user to discover structure in large data sets.

顶层是通过报告、分析和数据挖掘工具呈现结果的前端客户端。
The top tier is the front-end client that presents the analytics results through reporting, analysis, and data mining tools.

有趣的是，Hadoop体系的的开源工具里，针对于MLlib和其他免费开源分析/数据挖掘工具的使用量也在减少。
What is interesting is the decline in usage for Hadoop Open Source Tools, for MLlib and Other free analytics/data mining tools.

可以很容易地将这个示例推广到一些更有价值的应用场景，因为您掌握了基本搜索引擎或者数据挖掘工具的核心内容。
This example could quite easily be turned into something more useful, as you have the core for a basic search engine or data mining tool.

是一种很强大的数据挖掘工具。
This is a very strong data exploration tool.

为什么R是这个名单上免费数据挖掘工具的超级巨星?
There's no mystery why R is the superstar of free data mining tools on this list?

在2016年，Minesoft推出了用于全文专利的数据挖掘工具TextMine。
In 2016, Minesoft launched TextMine, a data mining tool for Full Text patents.

因此，选择正确的数据挖掘工具是一项非常困难的任务。
Therefore, the selection of the right data mining tools is a very challenging task.

弗里德曼(Friedman)是许多数据挖掘工具(包括CART，MARS和投影追踪)的共同发明者。
Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

弗里德曼(Friedman)是许多数据挖掘工具(包括CART，MARS和投影追踪)的共同发明者。
Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

在未来，RFID手环可能会变成一个数据挖掘工具，用于记录参与者的实时动态和社交信息。
In the future, RFID bracelets may become a data mining tool for recording real-time dynamic and social information of participants.

在开放获取内容的世界里，数据挖掘工具对于在大量的期刊和在线内容中寻找信息至关重要。
In the world of open access content, data mining tools are critical for finding information amidst the wealth of journals and online content.

大多数组织使用多个分析工具，包括具有统计功能的电子表格、统计软件包、复杂的数据挖掘工具以及预测建模工具。
Most organisations use more than one analytics tool, including spreadsheets with statistical functions, statistical software packages, sophisticated data mining tools and predictive modeling tools..

尽管数据仓库工具对于支持数据分析是有帮助的，但是仍需要更多的数据挖掘工具，以便进行更深入的自动分析。
Although data warehouse tools help support data analysis, additional tools for data mining are often needed for in-depth analysis.

当数据挖掘工具运行于高性能的并行处理系统上的时候，它能在数分钟内分析一个超大型的数据库。
On high performance parallel processing systems when data mining tools are used, they can analyze huge databases in minutes.

有很多公司都成功地安装了数据挖掘工具。
Many industries successfully use data mining.