Nature-inspired algorithms for big data frameworks:

"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the rol...

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Bibliographic Details
Other Authors: Banati, Hema 1970- (Editor), Kaur, Parmeet 1976- (Editor), Mehta, Shikha (Editor)
Format: Electronic eBook
Language:English
Published: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2018.
Subjects:
Online Access:DE-862
DE-863
Summary:"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving data intensive applications"--
Physical Description:28 PDFs (xxii, 412 Seiten)
Also available in print.
Format:Mode of access: World Wide Web.
Bibliography:Includes bibliographical references and index.
ISBN:9781522558538
Access:Restricted to subscribers or individual electronic text purchasers.

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