Big data: algorithms, analytics, and applications

Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, i...

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Bibliographic Details
Other Authors: Li, Kuan-Ching (Editor)
Format: Electronic eBook
Language:English
Published: Boca Raton [Florida] CRC Press, Taylor & Francis Group [2015]
Boston, Massachusetts Credo Reference [2015]
Edition:[Enhanced Credo edition].
Series:Chapman & Hall/CRC big data series
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781482240559/?ar
Summary:Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering.
Item Description:Includes bibliographical references. - Title page of print version
Physical Description:1 Online-Ressource (35 entries) 153 images.
ISBN:9781785398230
1785398237
9781482240559