Big Data
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Presenting the contributions of leading experts in their respective fields, this book bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues regarding Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in fields such as medicine, science, and engineering. Coverage includes Big Data management, Big Data processing, Big Data streaming techniques and algorithms, Big Data privacy, and Big Data applications.…mehr

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Produktbeschreibung
Presenting the contributions of leading experts in their respective fields, this book bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues regarding Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in fields such as medicine, science, and engineering. Coverage includes Big Data management, Big Data processing, Big Data streaming techniques and algorithms, Big Data privacy, and Big Data applications.
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Autorenporträt
Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea