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Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed;
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This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this;
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The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today;
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This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;
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This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;
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This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to;
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The new emphasis in the Singapore mathematics education is on Big Ideas (Charles, 2005). This book contains more than 15 chapters from;
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- Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics;
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insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum;
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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA;
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drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information;
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The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses;
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learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and;
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Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural;
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Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural;
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This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during;
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Mathematics traces the revolution in statistics and probability that has quietly underwritten the explosion of machine learning, big data and;
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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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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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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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Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About;
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and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big;
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big data problems.;
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