Nature-inspired Algorithms for Big Data Frameworks - Brossura

 
9781522587521: Nature-inspired Algorithms for Big Data Frameworks
Brossura
ISBN 10: 1522587527 ISBN 13: 9781522587521
Casa editrice: Engineering Science Reference, 2018

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Engineering Science Reference
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
1522587527
ISBN 13 
9781522587521
Rilegatura
Copertina flessibile
Numero di pagine
412
Redattore
Banati Hema, Mehta Shikha, Kaur Parmeet
Contatto del produttore
non disponibile
Persona responsabile
non disponibile

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9781522558521: Nature-Inspired Algorithms for Big Data Frameworks

Edizione in evidenza

ISBN 10:  1522558527 ISBN 13:  9781522558521
Casa editrice: Engineering Science Reference, 2018
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