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Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;
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in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges;
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, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks;
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This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI;
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examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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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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professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the;
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professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the;
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) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and;
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within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating;
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within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating;
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... --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals;
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This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure;
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forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real;
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network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety;
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. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;
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. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;
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? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis;
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of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the;
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of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the;
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A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and;
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for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those;
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develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments.;
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information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological;
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in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry;
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