Overview
- Appeals to scholars working in pattern recognition and other engineering fields
- Presents the latest computational intelligence methodologies and applications
- Serves as a reference resource for researchers and students
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 999)
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Table of contents (88 papers)
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Front Matter
Keywords
About this book
This book presents practical development experiences in different 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.
Editors and Affiliations
About the editors
Asit Kumar Das is currently a Professor at the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, India. His primary research interests are in the areas of data mining, bioinformatics, evolutionary algorithms, audio and video data analysis, text mining and social networks. He has published more than 50 research articles in respected peer-reviewed journals.
Janmenjoy Nayak is working as an Associate Professor at Sri Sivani College of Engineering, Srikakulam, India. He has published more than 50 research papers in various respected peer-reviewed journals and international conference proceedings, as well as a number of book chapters. He has received several awards, such as an INSPIRE Fellowship from DST, Govt. of India, and best researcher award by JNTU, Kakinada, AP. His areas of interest include data mining, nature-inspired algorithms and soft computing.
Bighnaraj Naik is an Assistant Professor at the Department of Computer Applications, VSSUT, Burla, Odisha, India. He has published more than 50 research papers in various respected peer- reviewed journals, referred journals and international conference proceedings, and has reviewed a number of books. He has over nine years of teaching experience in the field of computer science and information technology. His interests include data mining and soft computing.
Soumen Kumar Pati is currently an Associate Professor at the Department of Bio-Informatics, Maulana Abul Kalam Azad University of Technology, West Bengal, India. Dr. Pati received his Ph.D. degree in Engineering from the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur. His primary research interests are in the areas of data mining, artificial intelligence, soft computing, pattern recognition, social network, network security, machine learning, and he has published numerous articles in these fields.
Danilo Pelusi is an Associate Professor at the Faculty of Communication Sciences, University of Teramo. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access and guest editor for Elsevier, Springer and Inderscience journals, he served as program member of many conferences and as editorial board member of many journals. His research interests include Fuzzy Logic, Neural Networks, Information Theory and Evolutionary Algorithms.
Bibliographic Information
Book Title: Computational Intelligence in Pattern Recognition
Book Subtitle: Proceedings of CIPR 2019
Editors: Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-13-9042-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-13-9041-8Published: 18 August 2019
eBook ISBN: 978-981-13-9042-5Published: 17 August 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXVIII, 1046
Number of Illustrations: 160 b/w illustrations, 297 illustrations in colour
Topics: Computational Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Mining and Knowledge Discovery