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This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;
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enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data;
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Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second;
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Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level;
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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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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;
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This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two;
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This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;
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technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination;
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) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and;
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big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data;
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media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain;
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data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific;
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applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for;
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, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area;
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strategies for IoT and big data.;
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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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. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;
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. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;
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submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web;
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generation computing; social and web analytics; security in data science analytics; big data analytics.;
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generation computing; social and web analytics; security in data science analytics; big data analytics.;
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, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.;
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