Overview
- Contains proceedings from EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), 18 – 19 December 2020
- Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms
- Relevant for researchers, professionals, academics, and students in Cognitive Computing
Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 papers)
-
Front Matter
-
Back Matter
Keywords
About this book
This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 – 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.
Editors and Affiliations
About the editors
Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India. He has received his Master’s in Software Engineering and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 125 research papers in reputed International Journals and IEEE conferences. He has authored 11 books and many book chapters with reputed publishers such as Springer and IGI. He is Editor in Chief of KeAi – Elsevier IJIN and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member ofIEEE, IET, ACM and Fellow member of EAI research group.
Dr. Arulmurugan Ramu, is a Professor, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 35 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided many Ph.D. research scholar under the area of Image Processing using Machine Learning. He is an Associate Editor of Inderscience IJISC journal. He is awarded as Best Young Faculty Award 2018 and nominated for Best Young Researcher Award (Male) by International Academic and Research ExcellenceAwards (IARE-2019).
Dr. Sudha Mohanram, has graduated from Government College of Engineering, Salem and has obtained her Master’s in Engineering from Coimbatore Institute of Technology. She has completed her PhD in Electrical Engineering in Anna University Chennai in the year 2010. She started her teaching profession as a Lecturer in Government College of Technology, Coimbatore. She possesses 20 years of teaching experience. When she was about 13 years into teaching profession, her family founded Sri Eshwar College of Engineering in 2008. She has been playing the role of Secretary till 2011 and became the Principal of the institution in 2011. She has steered the institution to be one of the most sought after institutions in Coimbatore, within a short span of time through its laudable achievement in Academic excellence and Placement. She has published many papers in leading journals. She is a member of IEEE and EAI research group.
Dr. Joan Luis Professor in Informatics at the University of Huddersfield (UK). Her extensive research covers information access, retrieval and visualization, XML and other data technologies, data management systems, security issues, wireless, and Internet computing. She has been an invited speaker for various industrial-oriented events, guest speaker in UK higher education academy (HEA) on Mobile technology in classrooms, 2012, keynote speaker for international conferences (INFOCCOM13, in Portugal and The Scientific Conference 2014, in Kurdistan). She is a research grant reviewer for The Swiss National Science Foundation (SNSF), and an external adviser for a collaboration between Leeds Mat University, UK and Sakarya University in Turkey. She was principal investigator for three EU projects from 2008 to 2012. She published 5 academic research books and over 180 papers. Professor Lu has acted as the founder and a program chair for the International XML Technology workshop and XMLTech (USA) for 11years (2003-2011).
Bibliographic Information
Book Title: 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Editors: Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram, Joan Lu
Series Title: EAI/Springer Innovations in Communication and Computing
DOI: https://doi.org/10.1007/978-3-030-78750-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-78749-3Published: 20 December 2021
Softcover ISBN: 978-3-030-78752-3Published: 21 December 2022
eBook ISBN: 978-3-030-78750-9Published: 01 January 2022
Series ISSN: 2522-8595
Series E-ISSN: 2522-8609
Edition Number: 1
Number of Pages: XII, 250
Number of Illustrations: 17 b/w illustrations, 113 illustrations in colour
Topics: Communications Engineering, Networks, Signal, Image and Speech Processing, Computer Communication Networks, Computational Intelligence