Springer Soft Computing in Data Analytics: Proceedings of International Conference on SCDA 2018: 758 (Advances in Intelligent Systems and Computing, 758)

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.   From the Back Cover 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 the Author Janmenjoy Nayak is working as an Associate Professor, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India. He has been awarded INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) for doing his Doctoral Research in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India. He completed his M.Tech. degree (Gold Medalist & Topper of the Batch) in Computer Science from  Fakir Mohan University, Balasore, Odisha, India and M. Sc. degree (Gold Medalist & Topper of the Batch) in Computer Science from Ravenshaw University, Cuttack, Odisha, India. He has published more than 50 research papers in various reputed peer reviewed International Conferences, Referred Journals and Book Chapters. He has also published one Text book on “Formal Languages and Automata Theory” in Vikash Publishing House Pvt. Ltd., which has been widely acclaimed throughout the country and abroad by the students of all levels. He has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as IET Intelligent Transport Systems, Journal of Classification, Springer, International Journal of Computational System Engineering, International Journal of Swarm Intelligence, International Journal of Computational Science and Engineering, International Journal of Data Science etc. He is the life member of some of the reputed societies like CSI, India, OITS, OMS, IAENG (Hongkong) etc. His area of interest includes data mining, nature inspired algorithms and soft computing. Ajith Abraham received the M.S. degree from Nanyang Technological University, Singapore, and the Ph.D. degree in Computer Science from Monash University, Melbourne, Australia. He is currently a Research Professor at the Technical University of Ostrava, Czech Republic. He is also the Director of Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, which has members from more than 75 countries. He serves/has served the editorial board of over 50 International journals and has also guest edited 40 special issues on variou