Free Delivery Over $100
|
|
|||
|
||||
OverviewFull Product DetailsAuthor: Rajendra AkerkarPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Weight: 0.320kg ISBN: 9783030481018ISBN 10: 3030481018 Pages: 183 Publication Date: 16 September 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction to Emergency Management.- 2. Big Data.- 3. Learning Algorithms for Emergency Management.- 4. Knowledge Graphs and Natural-Language Processing.- 5. Social Media Mining for Disaster Management and Community Resilience.- 6. Big Data-Driven Citywide Human Mobility Modeling for Emergency Management.- 7. Smartphone based Emergency Communication.- 8. Emergency Information Visualisation.ReviewsAuthor InformationRajendra 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. Tab Content 6Author Website:Countries AvailableAll regions |
||||
