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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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Published by Engineering Science Reference, 2018
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Taschenbuch. Condition: Neu. Nature-Inspired Algorithms for Big Data Frameworks | Hema Banati (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Engineering Science Reference | EAN 9781522587521 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Published by Engineering Science Reference, 2018
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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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Published by Engineering Science Reference, 2018
ISBN 10: 1522587527 ISBN 13: 9781522587521
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Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
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Buch. Condition: Neu. Nature-Inspired Algorithms for Big Data Frameworks | Hema Banati (u. a.) | Buch | Gebunden | Englisch | 2018 | Engineering Science Reference | EAN 9781522558521 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. 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.