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technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have;
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aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data;
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technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent;
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outbreak to be an influenza pandemic, the first since 1968. When the outbreak began, U.S. official adopted a response posture under the overall;
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systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information;
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a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange;
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in topical sections named: traffic management; data science; and visualization science.;
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during the first 6 months and onwards of the outbreak this book records how the response to the pandemic was mounted and how various branches;
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another influenza pandemic. In this book, the epidemiology of the H7N9 outbreak, and the origin and diversity of the virus genome are discussed;
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topical sections: Data Security, Big Data and Data Science, Artificial Intelligence, ICT Project Management, Applications, Social Media, Smart;
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of Crisis: COVID-19 Pandemic, distinguished academics and editors H. Dan O'Hair and Mary John O'Hair have delivered an insightful collection;
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method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The;
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Since the 2014 Ebola outbreak many public- and private-sector leaders have seen a need for improved management of global public health;
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thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management;
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outbreak-and the disastrous early handling of the COVID-19 coronavirus pandemic-a lack of preparedness, delays, and system-wide problems with the;
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been caused due to outbreak of this pandemic. The pandemic has changed the world melodramatically and major world markets collapsed in the;
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. Authored by a medical professional and an economist working on the frontlines, this volume is a one-stop resource on the COVID-19 outbreak.;
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graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the;
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graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the;
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This book constitutes the post-conference proceedings of the 22nd International Conference on Data Analytics and Management in Data;
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COVID-19 outbreak spread across the entire world in a matter of three to four months. This volume examines the first responses to the pandemic;
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wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management;
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blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide;
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This book constitutes selected and revised papers from the First Mediterranean Forum - Data Science Conference, MeFDATA 2020, held;
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of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently;
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In light of the novel corona virus outbreak in December 2019 and its subsequent impact on entire world as a global pandemic, the book;
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