Nature Inspired Algorithms Big Data (33 results)

Nature-inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
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Language: English
Published by Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
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Nature-inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
- Softcover
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Language: English
Published by Springer, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Nature-inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
- Softcover
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Nature-inspired Algorithms for Big Data Frameworks
Banati, Hema (EDT); Mehta, Shikha (EDT); Kaur, Parmeet (EDT)
- Softcover
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- 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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Language: English
Published by Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
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- Hardcover
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Language: English
Published by Springer, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- 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
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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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- Softcover
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Condition: 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.…

Language: English
Published by Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Language: English
Published by Springer, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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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. …

Language: English
Published by Springer, 2021
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
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Condition: New. PRINT ON DEMAND.

Language: English
Published by Springer, 2020
Series: Book 9 of 23 - Springer Tracts in Nature-Inspired Computing
- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
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- Softcover
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Taschenbuch. 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.…