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The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern;
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This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The;
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This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The;
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This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to;
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availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores;
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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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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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includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging;
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The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry;
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This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK;
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Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers;
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Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.;
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Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.;
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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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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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on over 10 years of experience in the field as an authority in big data strategy, the author identifies core principles of data analytics;
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trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical;
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generates helpful guidance to the readers on Big Data analytics and its applications, challenges, and prospects that is necessary for organizational;
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healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most;
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healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most;
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This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;
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This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its;
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robust data strategy and industrialize a set of data-driven solutions to utilize big data analytics to its fullest potential. Big Data;
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Advances in Big Data Analytics is a compendium of articles and papers that were presented at ABDA '14, an international conference that;
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healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The;
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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 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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