Overview
- Offers a clear framework for an Emergency Response Decision Support System
- Includes an intelligent management system combined with the mining, knowledge management, UGC and other algorithms
- Provides two representative, practical examples to demonstrate the importance of the ERDSS
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Business (BRIEFSBUSINESS)
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Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Qi Yan is a doctoral candidate in Management Science and Engineering at Beihang University. She is mainly engaged in research on emergency management, urban disaster loss assessment, and UGC (User Generated Content) feature analysis.
Bibliographic Information
Book Title: Emergency Response Decision Support System
Authors: Siqing Shan, Qi Yan
Series Title: SpringerBriefs in Business
DOI: https://doi.org/10.1007/978-981-10-3542-5
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Author(s) 2017
Softcover ISBN: 978-981-10-3541-8Published: 20 January 2017
eBook ISBN: 978-981-10-3542-5Published: 15 January 2017
Series ISSN: 2191-5482
Series E-ISSN: 2191-5490
Edition Number: 1
Number of Pages: XII, 70
Number of Illustrations: 17 b/w illustrations, 1 illustrations in colour
Topics: Knowledge Management, Operations Research/Decision Theory, Data Mining and Knowledge Discovery, Applied Science, multidisciplinary