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Big Data

Big Data

Algorithms, Analytics, and Applications

Contenu

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.

Informations bibliographiques

février 2015, 498 pages, Chapman & Hall/CRC Big Data Series, Anglais
Taylor and Francis
978-1-4822-4055-9

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