Springer Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2021: 1349 (Advances in Intelligent Systems and Computing, 1349)

Product Description This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. 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 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. 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 published more than 100 research papers in various international Journals and Conferences, 1 book and 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 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, Audio 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, AP- 532201, India. He has published more than 110 research papers in various reputed peer reviewed Referred Journals, International Conferences and Book Chapters. Being two times Gold Medallist in Computer Science in his career, he has been awarded with INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) and Best researcher award from Jawaharlal Nehru University of Technology, Kakinada, Andhra Pradesh for the AY: 2018-19 and many more awards to his credit.  He has Edited 12 Books and 8 Special Issues in various topics including Data Science, Machine Learning, and Soft Computing with reputed International Publishers like Springer, Elsevier, Inderscience etc. His area of interest includes data mining, nature inspired algorithms and soft computing.   Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Odisha, India. He has edited 11 books in variou