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Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 1 de Paramartha Dutta

Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 1: Lecture Notes in Networks and Systems, cartea 491

Editat de Paramartha Dutta, Satyajit Chakrabarti, Abhishek Bhattacharya, Soumi Dutta, Vincenzo Piuri
en Limba Engleză Paperback – 29 sep 2022
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. 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.

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Specificații

ISBN-13: 9789811941924
ISBN-10: 9811941920
Pagini: 759
Ilustrații: XXIX, 759 p. 360 illus., 235 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.27 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

Cuprins

Part 1: Computational Intelligence.- Chapter 1. An Interpretive Saga of SQL Injection Attacks.- Chapter 2. Numerical Simulation of Boundary Layer Flow of MHD influenced Nanofluid over an Exponentially Elongating sheet.- Chapter 3. Driver Drowsiness Detection and Traffic Sign Recognition System.- Chapter 4. Application of Data Visualization: Realization of Car Rental System.- Chapter 5. Physical and Mental Health Problem's Technical Resolutions.- Chapter 6. Entropy Generation Analysis of MHD Fluid Flow Over Stretching Surface with Heat and Mass Transfer.- Chapter 7. A Stacking Ensemble Framework for Android Malware Prediction.- Chapter 8. A comparative analysis of performances of different ensemble approaches for classification of Android Malwares.- Chapter 9. Natural Language Processing In Chat-Bots.- Chapter 10. CT Image Denoising Using Bilateral Filter And Method Noise Thresholding In Shearlet Domain.- Chapter 11. Reactive Mass Diffusion in Viscoelastic Fluid Past a StretchableExponential Sheet Due to Variation in Wall Concentration.- Chapter 12. Technology Adoption for Facilitating Knowledge Management Practices in Firms.- Chapter 13. Slip Flow and Heat Transition for Hydromagnetic Elastico-viscous Fluid past a Flat Moving Plate.- Chapter 14. Comprehensive analysis of various distance metrics on colour based CBIR System.- Chapter 15. Numerical Simulation of MHD Viscous Fluid Flow over a Porous Stretching Surface with the Effects of Power-law Heat and Mass Flux.

Notă biografică

Dr. Paramartha Dutta is currently a Professor in the Department of Computer and System Sciences in, Visva-Bharati University, Shantiniketan, India. He did Bachelors and Masters in Statistics from ISI, Kolkata, India. Subsequently, he did Master of Technology in Computer Science from ISI, Kolkata, India. He did Ph.D. (Engineering) from BESU, Shibpore, India. He is a Co-author of eight authored books apart from thirteen edited books and more than 200 and 40 research publications in peer-reviewed journals and conference proceedings. He is a Co-inventor of 17 published patents. He is a Fellow of IETE, Optical Society of India, IEI, Senior Member of ACM, IEEE, Computer Society of India, International Association for Computer Science and Information Technology and Member of Advanced-Computing and Communications Society, Indian Unit of Pattern Recognition and AI—the Indian Affiliate of the International Association for Pattern Recognition, ISCA, Indian Society for Technical Education, System Society of India.
 
Dr. Satyajit Chakrabarti is Pro-Vice Chancellor, University of Engineering & Management, Kolkata and Jaipur Campus, India, and Director of 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 Program 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.
 
Dr. Abhishek Bhattacharya is Assistant Professor at Institute of Engineering & Management, India. He hascompleted his Ph.D. (Engineering), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 25 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was the Editor in IEMIS 2020, IEMIS 2018 and special issues in IJWLTT. He is the Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents.
 
Dr. Soumi Dutta is Associate Professor at Institute of Engineering & Management, India. She has completed her Ph.D. (Engineering), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medalist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, OSN Data Analysis and Image Processing. She has published 30 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 5 Book Chapters in Taylor-&-Francis Group and IGI-Global. She is Peer Reviewer and TPC Member in different international journals. She was Editor in CIPR-2020, CIPR2019, IEMIS-2020, CIIR-2021, IEMIS-2018 special issues in IJWLTT. She is Member of several technical functional bodies such as IEEE, ACM, IEEE, IFERP, MACUL, SDIWC, Internet-Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 4 patents. She has delivered more than Keynote talks in Different International Conferences.
 
Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy. He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). His main research interests are: AI, computational-intelligence, intelligent-systems, machine-learning, pattern analysis and recognition and many more. Original results have been published in 400+ papers in international journals, conferences proceedings, books and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM and Senior Member of INNS. He is President of the IEEE Systems Council (2020-21) and IEEE Region 8 Director-elect (2021-22) and has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE CIS, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council and Vice President for Membership of the IEEE CIS. He has been Editor-in-Chief of the IEEE Systems Journal (2013-19). He is Associate Editor of the IEEE Transactions on Cloud Computing and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks, theIEEE Transactions on Instrumentation and Measurement and IEEE Access. He received the IEEE Instrumentation and Measurement Society Technical Award (2002) and the IEEE TAB Hall of Honor (2019).

Textul de pe ultima copertă

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. 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.


Caracteristici

Presents recent research in the field of data mining and information security Discusses the outcomes of IEMIS 2022, held in Kolkata, India Serves as a reference resource for researchers and practitioners in academia and industry