Overview
Describes the benefits of Big Data in Emergency Management in the simplest of terms
Covers intelligent techniques for Emergency Management
Includes research directions, practice questions, and additional reading material
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Table of contents (8 chapters)
Keywords
About this book
Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community’s vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies.
Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data
Editors: Rajendra Akerkar
DOI: https://doi.org/10.1007/978-3-030-48099-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-48098-1Published: 15 September 2020
Softcover ISBN: 978-3-030-48101-8Published: 16 September 2021
eBook ISBN: 978-3-030-48099-8Published: 14 September 2020
Edition Number: 1
Number of Pages: XVIII, 183
Number of Illustrations: 18 b/w illustrations, 79 illustrations in colour
Topics: Information Storage and Retrieval, Natural Hazards, Computer Communication Networks, Computer Applications, Artificial Intelligence