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Titlebook: Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data; Rajendra Akerkar Book 2020 Springer Nature Switzerla

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期刊全稱Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data
影響因子2023Rajendra Akerkar
視頻videohttp://file.papertrans.cn/186/185701/185701.mp4
發(fā)行地址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 additio
圖書封面Titlebook: Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data;  Rajendra Akerkar Book 2020 Springer Nature Switzerla
影響因子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 ex
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Knowledge Graphs and Natural-Language Processing,owerful techniques for data analysis and management. Knowledge graphs represent data in a rich, flexible, and uniform way that is well matched with the needs of emergency management. They build on existing standards, resources, techniques, and tools for semantic data and computing. This chapter expl
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Big Data-Driven Citywide Human Mobility Modeling for Emergency Management,nal methods for regular human mobility modeling fail on emergency management, because human mobility differs significantly from routines. In this chapter, we elaborate the challenges and review the state-of-the-art technologies to cope with the three fundamental tasks of human mobility modeling for
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Smartphone Based Emergency Communication,have attracted remarkable attentions on the management of ECNs. In this topic, we first review the state-of-the-art research efforts devoted to the establishment and management of smartphone based ECNs. The related key techniques and their significant roles for disaster-relief in ECNs are discussed.
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Emergency Information Visualisation,ely information is critical for efficient search and rescue operations. This chapter aims to give an understanding in how information can be designed and presented to give efficient and effective knowledge transfer and decision making. The focus of this chapter is on providing essential comprehensio
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978-3-030-48101-8Springer Nature Switzerland AG 2020
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