<p><i>Cognitive Big Data Intelligence with aΒ Metaheuristic Approach</i> 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 in
Cognitive Big Data Intelligence with a Metaheuristic Approach (Cognitive Data Science in Sustainable Computing)
β Scribed by Sushruta Mishra (editor), Hrudaya Kumar Tripathy (editor), Pradeep Kumar Mallick (editor), Arun Kumar Sangaiah (editor), Gyoo-Soo Chae (editor)
- Publisher
- Academic Press
- Year
- 2021
- Tongue
- English
- Leaves
- 372
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Cognitive Big Data Intelligence with aΒ 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.
π SIMILAR VOLUMES
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basi
<span>COGNITIVE INTELLIGENCE AND BIG DATA IN HEALTHCARE</span><p><span>Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention. </span></p><p><s
<p><span>The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the
<p><span>Cognitive Systems and Signal Processing in Image Processing</span><span> presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing method
<b>A comprehensive guide to learning technologies that unlock the value in big data</b> <p><i>Cognitive Computing</i> provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists under