data extraction

基本解释

In the next article in this series, you'll learn how to build on the data-extraction techniques presented in this article to modify data in an Apache Derby database.
在本系列文章的下一篇文章中，您将了解如何基于本文中提供的数据提取技术来修改 Apache Derby 数据库中的数据。
Forum structured data extraction is the meta-data extraction from web forums such as post title, post author, post time and post content. It is the foundation of processing forum data.
论坛的结构化数据抽取是对论坛中帖子的标题、作者、发表时间和内容文本块等论坛元数据的抽取，它是处理论坛数据的基础。
And for satisfying the requirement of the real-time data in decision-making the paper proposed a real-time data extraction method to ensure the comprehensiveness of the data for the decision-making.
并针对决策对实时数据的需求提出了一种实时数据抽取的方法，保证了决策所需数据的准确性。

One of the better keynotes was given by Amr Awadallah, chief technology officer at Cloudera, who first cut his teeth on Big-Data meaning extraction at Yahoo.
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数据抽取
It has also given the basic process and Extraction Flow of EXALG + data extraction method.
同时给出了EXALG+这种数据抽取方法的基本流程,并给出了这种方法的抽取流程图。
数据提取
A new criterion of echo location is defined and this new algorithm can greatly improve the accuracy of data extraction.
新算法改进了传统倒谱对回声位置的判断标准,提高了数据提取正确率。
数据采集
The data extraction center is placed on a computer which runs on background. The data extraction center can serve for several data acquisition subsystems simultaneously.
数据采集器可部署在一个或多个局域网网关的前端机上,同时对多个局域网进行监听;数据还原中心部署在后台,一个数据还原中心可同时对多个数据采集器提供服务。
资料萃取

数据提取
In this paper,aiming at distribution network for spatial load forecasting need of data to collect,extract and analyze the raw data which needed,using the powerful spatial data extraction and analysis capabilities of GIS.
本文利用地理信息系统强大的空间数据提取和分析能力,针对配电网空间负荷预测的数据需求来收集、提取和分析所需的原始数据。
数据采集
Radar is an important information source equipment in the VTS system. Data extraction, signal processing and information display are the main functions of radar display system.
雷达是VTS系统中重要的信息源设备,雷达显示系统的主要功能是完成雷达数据采集、信号处理和信息显示。
数据析取

数据抽取
The basis of data integration system is data extraction, as there may be various data sources with various complexities, how to accurately build wrappers for these data sources is the key to realize data integration systems.
数据抽取是建设数据仓库系统的基础问题之一，由于数据源的多样性和复杂性，如何快速准确地从各种数据源抽取数据是数据仓库系统实现的关键。
地球科学
数据提取