Nature-Inspired Algorithms for Big Data Frameworks

Nature-Inspired Algorithms for Big Data Frameworks Hema Banati, Shikha Mehta, Parmeet Kaur, (editor)
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. Categories:
Computers – Algorithms and Data Structures
Year:
2018
Publisher:
Engineering Science Reference
Language:
english
Pages:
412 / 436
ISBN 10:
1522558527
ISBN 13:
9781522558521
Series:
Advances in Computational Intelligence and Robotics
File:
20.22 MB