Springer Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2020: 1120 (Advances in Intelligent Systems and Computing, 1120)

This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.   From the Back Cover This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.   About the Author Prof. Asit Kumar Das is working as a Professor in the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India. He has received B. Sc. Honors in Mathematics, B. Tech. and M.Tech.in Computer Science & Technology from Calcutta University, West Bengal and Doctor of Philosophy in Engineering (Ph.D.) from Bengal Engineering and Science University (BESU), Shibpur, West Bengal. He has published more than 100 research papers in various international journals and conferences, 1 book on rough set theory in data mining, 4 book chapters. He has worked as a member of the editorial/reviewer board of various international journals and conferences. He has shared his research field of interest in many workshops and conferences through his invited speech in various institutes in India. He likes to teach the theoretical subjects like discrete structures, data structures, design and analysis of algorithm, data mining, etc. to B. Tech. and M. Tech. students of Computer Science and Engineering. He acts as the general chair, program chair, and advisory member of committees of many international conferences. His research interest includes data mining and pattern recognition in various fields including bioinformatics, social networks, text mining, Audioaudio and video data analysis, and medical data analysis. He has already guided five Ph.D. scholars and is currently guiding six Ph.D. scholars. Dr. Janmenjoy Nayak is working as an Associate Professor, Aditya Institute of Technology and Management (AITAM), (An Autonomous Institution) Tekkali, K. Kotturu, Srikakulam, Andhra Pradesh-532201, 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 has published more than 80 research papers in various reputed peer-reviewed referred journals, international conferences and book chapters. He has also authored one Text book