Data Management, Analytics and Innovation: Proceedings of Icdmai 2021, Volume 2

ISBN-13: 9789811629365 / Angielski / Miękka / 2021 / 484 str.

Neha Sharma; Amlan Chakrabarti; Valentina Emilia Balas

Spis treści

Simulation of Lotka-Volterra Equations using Differentiable Programming in Julia.- Feature Selection Strategy for Multi Residents Behavior Analysis in Smart Home Environment.- A Comparative Study on Self-learning Techniques for Securing Digital Devices.- An intelligent, Geo-Replication, Energy Efficient BAN Routing Algorithm under Framework of Machine Learning and Cloud Computing.- New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker.- Analysis of Road Accidents in India and Prediction of Accident Severity.- Mining Opinion Features & Sentiment Analysis with Synonymy Aspects.- Understanding Employee Attrition Using Machine Learning Techniques.

O autorze

Neha Sharma is working with Tata Consultancy Services and is also a Founder Secretary of Society for Data Science. Prior to this she has worked as Director of premier Institute of Pune, that run post-graduation courses like MCA and MBA. She is an alumnus of a premier College of Engineering and Technology, Bhubaneshwar and completed her PhD from prestigious Indian Institute of Technology, Dhanbad. She is an ACM Distinguished Speaker, a Senior IEEE member and Secretary of IEEE Pune Section. She is the recipient of “Best PhD Thesis Award” and “Best Paper Presenter at International Conference Award” at National Level. Her area of interest includes Data Mining, Database Design, Analysis and Design, Artificial intelligence, Big data, Cloud Computing, Block Chain and Data Science.

Prof. Amlan Chakrabarti is a Full Professor in the School of I.T. at the University of Calcutta. He was a Post-Doctoral fellow at the Princeton University, USA during 2011–2012. He has almost 20 years of experience in Engineering Education and Research. He is the recipient of prestigious DST BOYSCAST fellowship award in Engg. Science (2011), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award from EU (2017), Hamied Visiting Professorship from University of Cambridge (2018). He is an Associate Ed. of Elsevier Journal of Computers and Electrical Engg. and Guest Ed. of Springer nature Journal in Applied Sciences. He is a Sr. Member of IEEE and ACM, IEEE Comp. Society Distinguished Visitor, Distinguished Speaker of ACM, Secretary of IEEE CEDA India Chapter and Vice President of Data Science Society.

Prof. Valentina Emilia Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She is author of more than 300 research papers. Her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is the Editor-in Chief of the IJAIP and IJCSysE journals in Inderscience. She is the Director of the Department of International Relations and Head of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. 

Professor Alfred M. Bruckstein, BSc, MSc in EE from the Technion IIT, Haifa, Israel, and PhD in EE, from Stanford University, Stanford, California, USA, is a Technion Ollendorff Professor of Science, in the Computer Science Department there, and is a Visiting Professor at NTU, Singapore, in the SPMS. He has done research on Neural Coding Processes, and Stochastic Point Processes, Estimation Theory, and Scattering Theory, Signal and Image Processing Topics, Computer Vision and Graphics, and Robotics. Over the years he held visiting positions at Bell Laboratories, Murray Hill, NJ, USA, (1987–2001) and TsingHua University, Beijing, China, (2002–223), and made short time visits to many universities and research centers worldwide. At the Technion, he was the Dean of the Graduate School, and is currently the Head of the Technion Excellence Program.

Blurb

This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.