Lingua: Inglese
Editore: Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrellohardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Da: moluna, Greven, Germania
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Engineering Science Reference, 2018
ISBN 10: 1522558527 ISBN 13: 9781522558521
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 301,59
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Aggiungi al carrelloBuch. Condizione: 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.