Emerging Technologies in Data Mining and Information Security -

Emerging Technologies in Data Mining and Information Security (eBook)

Proceedings of IEMIS 2020, Volume 1
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2021 | 1st ed. 2021
XVI, 1014 Seiten
Springer Singapore (Verlag)
978-981-15-9927-9 (ISBN)
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This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security.

 



Aboul Ella Hassanein is Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of Information Technology at the Faculty of Computer and Information, Cairo University. Professor Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 45 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Dr. Hassanien is Founder and Head of Africa Scholars Association in Information and Communication Technology. His other research areas include computational intelligence, medical image analysis, security, animal identification, space sciences and telemetry mining and multimedia data mining.

Siddhartha Bhattacharyya is currently a Professor in the Department of Computer Science and Engineering at Christ University, Bangalore, India. Prior to this, he was the Principal of RCC Institute of Information Technology, Kolkata, India. He served as Senior Research Scientist at the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic, from October 2018 to April 2019. He is a co-author of 5 books and co-editor of 56 books and has more than 300 research publications in international journals and conference proceedings to his credit. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence and quantum computing.

Satyajit Chakrabarti is Pro-Vice Chancellor, University of Engineering & Management, Kolkata and Jaipur Campus, India, and Director of the Institute of Engineering & Management, IEM. As the Director of one of the most reputed organizations in Engineering & Management in Eastern India, he launched a PGDM Programme to run AICTE approved Management courses, Toppers Academy to train students for certificate courses and Software Development in the field of ERP solutions. Dr. Chakrabarti was Project Manager in TELUS, Vancouver, Canada from February 2006 to September 2009, where he was intensively involved in planning, execution, monitoring, communicating with stakeholders, negotiating with vendors and cross-functional teams and motivating members. He managed a team of 50 employees and projects with a combined budget of $3 million.

Abhishek Bhattacharya is Assistant Professor of Computer Application Department at the Institute of Engineering & Management, India. He did Masters in Computer Science from the Biju Patnaik University of Technology and completed Master of Technology in Computer science from BIT, Mesra. He remained associated as Visiting/Guest Faculty of several universities/institutes in India. He has 5 edited and 3 authored books to his credit. He has published many technical papers in various peer-reviewed journals and conference proceedings, both international and national. He has teaching and research experience of 13 years. His area of research is data mining, network security, mobile computing and distributed computing. He is the reviewer of couple of Journals of IGI Global, Inderscience, and Journal of Information Science Theory and Practice. He is a member of IACSIT, UACEE, IAENG, ISOC, SDIWC and ICSES; Technical Committee member and Advisory Board member of various international conferences such as CICBA, CSI, FTNCT, ICIoTCT, ICCIDS, ICICC, ISETIST and many more.

Dr. Soumi Dutta is Associate Professor at the Institute of Engineering & Management, India. She has completed her Ph.D. from the Department of CST, IIEST, Shibpur. She received her B.Tech. in IT and her M.Tech. in CSE securing 1st position (Gold medalist), both from Techno India Group. Her research interests data mining, information retrieval, online social media analysis, micro-blog summarization, spam filtering sentiment analysis and clustering of micro-blogging data. She was the editor in cipr2019, IEMIS2018 Springer Conference for 3 volumes and special issue 2 volumes in IJWLTT. She is a TPC member in various international conferences such as SEAHF, DSMLA, ARIAM and CIPR. She is the peer reviewer in different international journals such as - Journal of King Saud University - Computer and Information Sciences, Springer and Elsevier. She is a member of several technical functional bodies such as MACUL, SDIWC, ISOC and ICSES. She has published several papers in reputed journals and conferences.

 



This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security. 
Erscheint lt. Verlag 28.6.2021
Reihe/Serie Advances in Intelligent Systems and Computing
Zusatzinfo XVI, 1014 p. 468 illus., 303 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Netzwerke Sicherheit / Firewall
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Advance Computing • Computational Intelligence • Data Science and Data Analytics • IEMIS 2020 • IEMIS Proceedings • Information Retrieval • Network Security & Telecommunication • pattern recognition
ISBN-10 981-15-9927-0 / 9811599270
ISBN-13 978-981-15-9927-9 / 9789811599279
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