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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: eBook
Language:English
Published: Boca Raton [Florida], Boston, Massachusetts CRC Press, Taylor & Francis Group, Credo Reference 2015
Edition:[Enhanced Credo edition]
Series:Chapman & Hall/CRC big data series
Subjects:
Machine Theory / Fast
Data Mining / Fast
Data Mining
Big Data / Fast
Big Data / Http://id.loc.gov/authorities/subjects/sh2012003227
Bases De Données / Gestion
Théorie Des Automates
Données Volumineuses
Database Management / Http://id.loc.gov/authorities/subjects/sh85035848
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Exploration De Données (informatique)
Database Management / Fast
Machine Theory / Http://id.loc.gov/authorities/subjects/sh85079341
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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
Physical Description:35 entries 153 images
ISBN:9781785398230
1785398237

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