aggregating

简明释义

英[ˈæɡrɪɡeɪtɪŋ]美[ˈæɡrɪɡeɪtɪŋ]

v. 聚集；合计（aggregate 的现在分词）

英英释义

单词用法

同义词

反义词

例句

1.The output of the parallel routing task is created by aggregating the results from the subtasks.

对子任务的结果进行聚合，产生并行路由任务的输出。

2.The portlet aggregation framework enables aggregating multiple portlets on one page using a tag library.

Portlet聚合框架可以使用标记库在一个页面上聚合多个Portlet。

3.The internet has not so much made paper obsolete as broken the model of aggregating news on paper.

互联网并没有破坏报纸总体新闻的模式，还不至于使之沦为过气品。

4.And "tag", which allows us to see the aggregating process of a subject matter, forms a field of dialogue.

标签则使我们看到议题的集结过程，一个对话场就此形成了。

5.The Aggregator, having finished aggregating the page, returns the page.

已经完成了聚集页面的聚集器将页面返回。

6.Hosts and domains of the users visiting the portal (by counting and aggregating the HOST elements).

访问门户的用户的主机和域(通过计算和聚合host元素)。

7.The last script is the shell script, aggregating the three scripts to execute in sequence.

最后一个脚本是一个命令脚本，汇聚这三个脚本来依次执行。

8.Then at the logical level, applications are composed by identifying and aggregating resources.

然后在逻辑层，通过认证和聚集资源来组合应用。

9.The software is designed for aggregating 汇集 large datasets for analysis.

该软件旨在汇集大型数据集以进行分析。

10.In finance, aggregating 合并 assets can lead to better investment strategies.

在金融领域，合并资产可以带来更好的投资策略。

11.The research team is aggregating 汇总 data from various sources to create a comprehensive report.

研究小组正在汇总来自不同来源的数据，以创建一份综合报告。

12.The platform specializes in aggregating 聚合 news articles from around the world.

该平台专注于聚合来自世界各地的新闻文章。

13.By aggregating 整合 customer feedback, the company can improve its services more effectively.

通过整合客户反馈，公司可以更有效地改善其服务。

作文

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在当今数字时代，数据的概念变得越来越重要。组织和个人都面临着管理大量信息的挑战。一种有效的方法是从各种来源进行数据aggregating（汇聚）。这种技术可以更全面地理解趋势和模式，最终导致更好的决策。为了说明aggregating（汇聚）数据的重要性，考虑一下一个想要分析客户行为的公司。通过收集来自多个平台的数据——例如社交媒体、在线购买和客户反馈——公司可以创建对其客户群体的整体视图。这种信息的aggregating（汇聚）不仅揭示了哪些产品受欢迎，还突出了需要改进的地方。此外，aggregating（汇聚）数据可以帮助预测未来的趋势。例如，通过分析历史销售数据和当前市场条件，公司可以更准确地预测需求。这种预测能力对于库存管理至关重要，可以显著减少与过度生产或缺货相关的成本。在公共卫生领域，aggregating（汇聚）数据的重要性不容小觑。在健康危机期间，例如COVID-19大流行，卫生当局依赖医院、检测中心和人口统计研究的数据来有效评估情况。通过aggregating（汇聚）这些信息，他们可以识别热点，合理分配资源，并实施有针对性的干预措施。此外，大数据的兴起进一步增强了aggregating（汇聚）信息的相关性。随着处理大型数据集的能力，组织可以发现以前隐藏的见解。例如，一家零售连锁店可能会使用aggregating（汇聚）技术分析不同地区的购物模式，使他们能够根据当地偏好量身定制营销策略。然而，谨慎对待aggregating（汇聚）数据至关重要。从聚合数据中得出的见解的准确性在很大程度上取决于基础信息的质量。来源不良或存在偏见的数据可能导致误导性结论，这可能对商业策略或公共政策产生不利影响。因此，组织必须确保其数据收集方法稳健可靠，然后再进行aggregating（汇聚）工作。总之，数据aggregating（汇聚）的过程已成为我们信息驱动世界中不可或缺的工具。无论是在商业、公共卫生还是研究中，从不同来源编译和分析数据的能力使得更明智的决策和战略规划成为可能。随着我们继续在快速技术进步的时代中航行，掌握aggregating（汇聚）信息的艺术将对任何领域的成功至关重要。