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

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Learning Algorithms for Emergency Management,trategies over time, getting smarter about planning and response. This chapter discusses the application of fundamental learning techniques to support the decision making processes for emergency management. The chapter also presents exercises based on the learning techniques using emergency relevant tweeter datasets.

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Clinical Features in Peptic Ulcer Diseasecy services. These activities have the primary goal of managing hazards, risks, and emergencies of all types. The advances in information and communication technology have a profound impact on emergency management by making unprecedented volumes of data available to decision makers. This has resulte

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Quantum Chromodynamics. Perturbation Theoryers many benefits for emergency management, but also pose new challenges. This chapter will review the sources of big data and their characteristics. We then discuss potential benefits of big data for emergency management along with the technological and the societal challenges it poses. We review c

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Masud Chaichian,Nikolai F. Nelipaowerful 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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Masud Chaichian,Nikolai F. Nelipa disasters as how platforms like Twitter and Facebook facilitate communication for both the public and response agencies during the time-critical events. Specifically, we introduce the concepts of social media mining for disaster events, provide the use-cases to mine social media for helping public

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