Cognitive Big Data Intelligence with a Metaheuristic Approach

Explores metaheuristic methods for cognitive computing in big data applications.

Hrudaya Kumar Tripathy editor Arun Kumar Sangaiah editor Pradeep Kumar Mallick editor Gyoo-Soo Chae editor Sushruta Mishra editor

Format:Paperback

Publisher:Elsevier Science & Technology

Published:15th Nov '21

Should be back in stock very soon

Cognitive Big Data Intelligence with a Metaheuristic Approach cover

This book offers a structured exploration of metaheuristic methodologies applied to cognitive big data intelligence, highlighting their effectiveness in analyzing patterns, identifying business opportunities, and addressing critical real-time issues.

Cognitive Big Data Intelligence with a Metaheuristic Approach offers a structured exploration of contemporary metaheuristic methodologies tailored for the evolving landscape of big data and cognitive computing. The book emphasizes the integration of cognitive big data intelligence with metaheuristic techniques, showcasing how this combination can effectively analyze emerging patterns and identify business opportunities. Moreover, it addresses critical process-centric challenges in real-time, making it a valuable resource for professionals in the field.

The text also includes a variety of real-time case studies and practical implementations, which serve to enhance understanding and provide clarity on the concepts presented. These examples illustrate the practical applications of the methodologies discussed, enabling readers to grasp the potential impact of cognitive technology in data science. By grounding theoretical concepts in real-world scenarios, the book aims to bridge the gap between theory and practice.

Ultimately, this book serves as a vital platform for those interested in leveraging cognitive technology within the domain of data science. It covers a diverse range of metaheuristic methodologies that can be applied across various problem settings within big data frameworks. Readers can expect to gain insights into how these advanced techniques can be utilized to navigate complex data challenges, thereby enriching their knowledge and enhancing their capabilities in this rapidly evolving field.

ISBN: 9780323851176

Dimensions: unknown

Weight: 590g

372 pages