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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;
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considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the;
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analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;
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Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive;
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contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area;
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fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety;
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, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;
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This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive;
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This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive;
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Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to;
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and;
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Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering;
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networks and IoT; AI, big data and data analytics; emerging technologies in engineering, education and sustainable development.;
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This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;
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process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and;
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Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet;
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Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has;
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technology management and networking, the book will also be of interest to those engaged in emerging fields such as data science and analytics, big;
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This book constitutes the proceedings of the Second International Conference on Big Data Computing and Communications, BigCom 2016, held;
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analytics, disease network analysis, and techniques for big data Analytics and health information technology.;
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organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;
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work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data;
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This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially;
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work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data;
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Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost;
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of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this;
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of computing mobile, cloud computing. big data, and analytics has provided the foundation for businesses to create adaptive, personalized;
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