Cognitive Big Data Intelligence with a Metaheuristic Approach (e-bog) af -
Chae, Gyoo-Soo (redaktør)

Cognitive Big Data Intelligence with a Metaheuristic Approach e-bog

1167,65 DKK (inkl. moms 1459,56 DKK)
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 opportunitie...
E-bog 1167,65 DKK
Forfattere Chae, Gyoo-Soo (redaktør)
Udgivet 9 november 2021
Længde 372 sider
Genrer Artificial intelligence
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780323851183
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. Provides a unique opportunity to present the work on the state-of-the-art of metaheuristics approach in the area of big data processing developing automated and intelligent models Explains different, feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using metaheuristics algorithms Provides a snapshot of the latest advances in the contribution of metaheuristics frameworks in cognitive big data applications to solve optimization problems