Minimum thresholds for the gathering of information: the problem of data mining and sharing.
并非每个应用程序都需要使用数据挖掘或大数据技术。
Not every application requires the use of data mining or big data technologies.
这意味着数据挖掘模型的输出可以立即应用回数据收集、转换和分析过程中。
This means that the output of a data mining model can immediately be applied back to the data gathering, transformation, and analysis processes.
数据挖掘是基于文本相似性来寻找相似的数据点。
The data exploration is done to find similar data points based on textual similarity.
数据挖掘技术,包括数据库系统中,数据挖掘技术在图像的应用和生物数据,人机交互和视觉语言。
Data mining techniques, including database systems, the application of data mining techniques in image and biological data, human-computer interaction and visual languages.
九、数据挖掘、内存支持、以及预包装的垂直/功能分析应用在去年已经成为热点。
Data discovery, in-memory support, and pre-packaged vertical/functional analytics apps have become deprioritized over the last year.
他的其他研究兴趣包括数据质量问题,空间数据挖掘和分析,预测分析和基于位置的服务(LBS)。
His other research interests include data quality issues, spatial data mining and analysis, predictive analytics and location-based services(LBS).
可用于数据挖掘:决策树是挖掘多个变量中最重要的变量及其中关系的最快方法之一。
Useful in Data exploration: Decision tree is one of the fastest way to identify most significant variables and relation between two or more variables.
数据管理、数据可视化、预测建模、数据挖掘、预测模拟和优化是用于从数据中创建洞察力的一些工具。
Data management, data visualization, predictive modeling, data mining, forecasting simulation and optimization are some of the tools used to create insights from data..
与此同时,行政当局仍未采用数据挖掘和数据匹配等技术来分析欺诈风险和发现需要进行调查的疑似欺诈案件。
In the meantime, techniques such as data mining and matching remain unused in the Administration to analyse fraud risk and detect suspected fraud cases for investigation.
数据管理,包括超级巨大数据存储(数百TB至PB)以及数据挖掘、分析、质量和屏蔽.
Data management, including very large data storage(hundreds of terabytes to petabytes), data discovery, analysis, quality, and masking.
我们希望自动化更多的基准测试,并进一步开展数据挖掘,为客户构建预测分析模型。
We want to automate more of the benchmarking, and enable further data exploration to build predictive analytics models for our customers.
数据挖掘(也称为数据发现或知识发现)是分析来自不同视点的数据并将其汇总为有用信息的过程。
Data mining(also called data discovery or knowledge discovery) is the process of analyzing data from different views and summarizing it into useful information.
事实证明,数据挖掘和人员访谈等核查程序是有效的。
Verification procedures, such as data mining and interviewing personnel, have proved useful.
如果韦伯是对的,关系科学、数据挖掘算法和机器学习方面的进步可能会让寻找真正的爱情几乎毫不费力。
If Webb is right, advances in relationship science, data-mining algorithms and machine learning may make finding love almost effortless.
数据挖掘和预测分析将成为贸易的常用工具,使农民能够做出更好的决策,最大化资源,优化产量。
Data mining and predictive analytics will become common tools of the trade, enabling farmers to make better decisions, maximize resources and optimize yields.
回测很容易变成数据挖掘,这对于样本外的成功是没有用的。
Backtesting can too easily become data-mining, which is useless for out-of-sample success.
依据Gartner的IT词汇表,“商业分析包括数据挖掘、预测分析、应用分析和统计”。
According to Gartner's glossary of IT terms,"business analytics includes data mining, predictive analysis, applied analysis, and statistics".
数据挖掘就是让设备尽可能快地公开所有的图片,这样你就能看到这些图片上是否有什么鼓舞人心的东西。
Data-mining is about working the equipment to expose all the images as quickly as possible so you can see whether there's anything inspiring on them.
部署的技术的示例包括但不限于机器学习,预测分析,数据挖掘统计和自然语言处理。
Examples of techniques deployed include but are not limited to machine learning, predictive analytics, data mining statistics, and natural language processing.
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