大数据处理与应急管理

R. Akerkar
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引用次数: 2

摘要

紧急情况通常是具有严重后果的复杂问题,必须在有限的时间内解决,以减少任何可能的损害。大数据分析可以带来更可靠的决策,更好的决策可以提高运营效率,降低成本并降低风险。在本章中,我们从大数据处理和管理的角度讨论了应对突发事件的一些问题,包括我们处理社交媒体内容的方法。紧急情况下的通信是如此之多,以至于有必要筛选大量的数据点,以找到在特定事件中最有用的信息。本章还介绍了我们正在进行的it系统,该系统可以处理和分析社交媒体数据,将过多的低信息内容转化为对应急人员有用的小容量但丰富的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Processing Big Data for Emergency Management
Emergencies are typically complex problems with serious consequences that must be solved in a limited amount of time to reduce any possible damage. Big data analysis leads to more assured decision making and better decisions can mean greater operational efficiencies, cost reductions and reduced risk. In this chapter, we discuss some issues on tackling emergency situation from the perspective of big data processing and management, including our approach for processing social media content. Communications during emergencies are so plentiful that it is necessary to sift through enormous data points to find information that is most useful during a given event. The chapter also presents our ongoing IT-system that processes and analyses social media data to transform the excessive volume of low information content into small volume but rich content that is useful to emergency personnel.
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