Share
Nature-Inspired Algorithms for big Data Frameworks (Advances in Computational Intelligence and Robotics)
Hema Banati
(Illustrated by)
·
Shikha Mehta
(Illustrated by)
·
Parmeet Kaur
(Illustrated by)
·
Engineering Science Reference
· Hardcover
Nature-Inspired Algorithms for big Data Frameworks (Advances in Computational Intelligence and Robotics) - Banati, Hema ; Mehta, Shikha ; Kaur, Parmeet
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, June 24 and
Wednesday, July 10.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Nature-Inspired Algorithms for big Data Frameworks (Advances in Computational Intelligence and Robotics)"
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.