9781522558521 - Nature-inspired Algorithms for Big Data Frameworks (advances in Computational Intelligence and Robotics) (11 results)
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Nature-Inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
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Nature-Inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
- Hardcover
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Nature-Inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
- Hardcover
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Nature-Inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Seller: moluna, Greven, Germanymoluna
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Gebunden. 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 under…standing of the world around us, in ad.
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Seller: preigu, Osnabrück, Germanypreigu
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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.
- Hardcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 oppo…rtunities 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.
