Soft Computing in Data Analytics

Soft Computing in Data Analytics
Author :
Publisher : Springer
Total Pages : 859
Release :
ISBN-10 : 9789811305146
ISBN-13 : 9811305145
Rating : 4/5 (145 Downloads)

Book Synopsis Soft Computing in Data Analytics by : Janmenjoy Nayak

Download or read book Soft Computing in Data Analytics written by Janmenjoy Nayak and published by Springer. This book was released on 2018-08-21 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.


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