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Nature-Inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Nature-inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)
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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)
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Nature-inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
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Nature-inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
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Nature-inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
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Nature-Inspired Algorithms for Big Data Frameworks (Advances in Computational Intelligence and Robotics)
Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Language: English
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Nature-Inspired Algorithms for Big Data Frameworks (Advances in Computational Intelligence and Robotics)
Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
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Nature-Inspired Algorithms for Big Data Frameworks (Advances in Computational Intelligence and Robotics)
Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Language: English
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Nature-Inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
£ 167.05
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic nature of data. The book highlights a range of t.
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Nature-Inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Language: English
£ 215
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnAs technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in ad.
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Nature-Inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
Language: English
£ 229.39
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Premier reference source' -- book cover.
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Nature-Inspired Algorithms for Big Data Frameworks
Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Language: English
£ 267.75
Convert currency£ 12.07 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.
