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Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data

Editors: Akerkar, Rajendra (Ed.)

  • 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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書籍の購入

イーブック ¥13,477
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • イーブック版は、まもなく発売予定です。
  • 予定日: August 30, 2020
  • ISBN 978-3-030-48099-8
  • ウォーターマーク付、 DRMフリー
  • ファイル形式:
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ハードカバー ¥16,847
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: August 30, 2020
  • ISBN 978-3-030-48098-1
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Immediate ebook access, if available*, with your print order
この書籍について

This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field.
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.

著者について

​Rajendra Akerkar holds master’s in applied mathematics and doctorate in computer science. He is the professor and head of Big Data Research Group at Vestlansforsking (Western Norway Research Institute), Norway. His research and teaching experience includes over 28 years in the Academia spanning universities in Asia, Europe and North America. His research focuses on application of big data methods to real world challenges, particularly transport, public security, energy and utilities. He is actively involved in several international ICT initiatives for more than 22 years.

書籍の購入

イーブック ¥13,477
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • イーブック版は、まもなく発売予定です。
  • 予定日: August 30, 2020
  • ISBN 978-3-030-48099-8
  • ウォーターマーク付、 DRMフリー
  • ファイル形式:
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
ハードカバー ¥16,847
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: August 30, 2020
  • ISBN 978-3-030-48098-1
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Immediate ebook access, if available*, with your print order
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書誌情報

Bibliographic Information
Book Title
Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data
Editors
  • Rajendra Akerkar
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
イーブック ISBN
978-3-030-48099-8
DOI
10.1007/978-3-030-48099-8
ハードカバー ISBN
978-3-030-48098-1
Edition Number
1
Number of Pages
VIII, 272
Number of Illustrations
18 b/w illustrations, 79 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.