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This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the;
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Processing (MDSP 2013), the First International Workshop on Emergency Management in Big Data Age (BigEM 2013), the International Workshop on;
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Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data;
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, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and;
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, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to;
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This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held;
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reduce risks, emergency management professionals must incorporate real-time data, big data, and other critical data feeds into their analysis;
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comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for;
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regarding how data can be used for improving management. Big Data can be understood as large amounts of data generated by the Internet and a variety;
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Find the answers to disaster and emergency management research questions with Disaster and Emergency Management Methods. Written to engage;
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Find the answers to disaster and emergency management research questions with Disaster and Emergency Management Methods. Written to engage;
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on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. Understand the;
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. It elucidates the handling and storing of data through database management systems. It examines the challenges involved in big data analysis;
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Big data, surveillance, crisis management. Three largely different and richly researched fields, however, the interplay amongst these three;
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From the Foreword: Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes;
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From the Foreword: Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes;
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, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;
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reduction. The main topics include areas such as natural disasters, big data, cloud computing, Internet of Things, mobile computing, emergency;
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reduction. The main topics include areas such as natural disasters, big data, cloud computing, Internet of Things, mobile computing, emergency;
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: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications;
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Tools Algorithms for Big Data Big Data Management and Frameworks Big Data Search and Mining Methods Security and Privacy in the Era of Big;
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Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;
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Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;
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