Springer Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 1: 1286 (Advances in Intelligent Systems and Computing, 1286)

Mathematical Modelling and Analysis of Walters Liquid Motion with Brownian Diffusion.- Optimization of Quadratic Curve Fitting from Data point using Real Coded Genetic Algorithm.- Blockchain Leveraged Incentive Providing Waste Management System.- Confidentiality Preserving Technique for Multiple Co-Related Sensitive Numeric Attributes.- Boundary Layer Flow and its Dual Solutions over a Stretching Cylinder: Stability Analysis.- Modelling of Two Phase Fluid Flow Over a Stretching Sheet and its Numerical Investigation.- Home Automation Using ESP8266 of IOT Module. From the Back Cover 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.   About the Author 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 p