Cognitive Big Data Intelligence with a Metaheuristic Approach Paperback / softback
Edited by Sushruta (Assistant Professor, School of Computer Engineering, KIIT University, Bhubaneswar, Mishra, Hrudaya Kumar (Associate Professor, School of Computer Engineering, KIIT University, Bhuba Tripathy, Pradeep Kumar (Senior Associate Professor, School of Computer Engineering, Kalinga Institut Mallick, Arun Kumar (School of Computer Science, The University of Adelaide, Australia) Sangaiah, Gyoo-Soo (Professor, Division of ICT, Baekseok University, Cheonan, South Korea) Chae
Part of the Cognitive Data Science in Sustainable Computing series
Paperback / softback
- Information
Description
Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing.
The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time.
Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science.
It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:372 pages, 130 illustrations (50 in full color); Illustrations, unspecified
- Publisher:Elsevier Science & Technology
- Publication Date:15/11/2021
- Category:
- ISBN:9780323851176
£108.00
£81.35
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:372 pages, 130 illustrations (50 in full color); Illustrations, unspecified
- Publisher:Elsevier Science & Technology
- Publication Date:15/11/2021
- Category:
- ISBN:9780323851176
