Emergency Management
Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data (HB)
- Item Number
- 167
- Estimated Value
- 98 USD
- Sold
- 60 USD to da9d79bd6
- Number of Bids
- 8 - Bid History
Item Description
This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focuses 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 a 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.
The editor is Rajendra Akerkar.
Item Special Note
Winning bidders may pick up items at the IAEM Silent Auction booth on Wednesday, Oct. 20, between 1:15-2:45 p.m. Items not picked up or items won by bidders not attending the IAEM Annual Conference will be shipped following the conference. Shipping charges are the responsibility of the winning bidder.
Please allow at least 12 days for the items to return to IAEM HQ, be packaged and shipped to the winning bidder.
The shipping charge will be added after the auction is completed and the destination determined. Items will be combined into one shipment for winning bidders of multiple items to save on shipping costs, when possible.
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