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Soft Computing in Data Analytics

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Soft Computing in Data Analytics Synopsis

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.

 

About This Edition

ISBN: 9789811305139
Publication date:
Author: Janmenjoy Nayak, Ajith Abraham, B Murali Krishna, G T Chandra Sekhar, Asit Kumar Das
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 859 pages
Series: Advances in Intelligent Systems and Computing
Genres: Artificial intelligence
Expert systems / knowledge-based systems
Algorithms and data structures
Data mining