Author(s) Name:  Sushruta Mishra, Hrudaya Tripathy, Pradeep Mallick, Arun Sangaiah, Gyoo-Soo Chae

About the Book:

   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.

Table of Contents

Foundations and Architectural Models of Cognitive Big Data and Meta heuristics

 1. Cognitive Computing fundamentals like perception, memory, reasoning, emotion, and problem solving
 2. Cognitive Computing techniques using artificial intelligence, pattern and speech recognition, and natural language processing
 3. Cognitive approaches within data mining and machine learning techniques
 4. Big Data Infrastructure for Cognition and Distributed Data Centers for Cognition
 5. Meta heuristics in classification, clustering and frequent pattern mining problems

Application Domains and use of Cognitive Big data with Meta heuristics

 1.Applications in Logistics, Transportation and Supply Chain Management
 2.Cognitive Sensor-Networks applications
 3.Algorithm development for big data analysis in E-health and Telemedicine
 4.Biomedical Image Processing and Big Data Applications
 5.Data Applications of Cognitive Communication

ISBN:  9780323851183

Publisher:  Elsevier

Year of Publication:  2021

Book Link:  Home Page Url