Advances in Data Science and Management: Proceedings of Icdsm 2019

ISBN-13: 9789811509803 / Angielski / Miękka / 2021 / 563 str.

Samarjeet Borah; Valentina Emilia Balas; Zdzislaw Polkowski

Spis treści

Introduction.- Data and Knowledge Visualization.- Knowledge Discovery and Management.- Application of Data in Cloud.- Deep Learning.- Natural Language Processing, Geo Location Handling.- Application of Data Mining Methods.- Big Data and Applications.- Applications of Virtualized Data.-Data Intelligence in IoT.- Industry 4.0 and Digital Manufacturing.- Data Driven Approximation.- Traffic Engineering.- Artificial Intelligence.- Applications in Transportation.- Jet Grouting Column Diameter Prediction.- Case Studies.- Conclusion.

O autorze

Samarjeet Borah is currently working as Professor in the Department of Computer Applications, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah handles various academics, research and administrative activities. He is also involved in curriculum development activities, board of studies, doctoral research committee, IT infrastructure management, etc., along with various administrative activities under SMU. Dr. Borah is involved with three funded projects in the capacity of Principal Investigator/Co-Principal Investigator. The projects are sponsored by AICTE (Government of India), DST-CSRI (Government of India) and Dr. TMA Pai Endowment Fund. Dr. Borah is involved with various journals of repute and book volumes as Editor/Guest Editor. 

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 the author of more than 250 research papers in refereed journals and international conferences. She is Editor-in-Chief of International Journal of Advanced Intelligence Paradigms (IJAIP) and International Journal of Computational Systems Engineering (IJCSysE), Editorial Board Member of several national and international journals and an evaluator expert for national and international projects. She is Director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in seven editions 2005–2016 held in Romania and Hungary. She is Member of EUSFLAT and SIAM and Senior Member of IEEE, Member in TC—Fuzzy Systems (IEEE CIS), Member in TC—Emergent Technologies (IEEE CIS) and Member in TC—Soft Computing (IEEE SMCS). She was Vice-President (Awards) of IFSA International Fuzzy Systems Association Council (2013–2015) and is Joint Secretary of Forum for Interdisciplinary Mathematics (FIM). 

Zdzislaw Polkowski is working as Adjunct Professor in the Faculty of Technical Sciences, the Jan Wyzykowski University, Poland. He also the Rector’s Representative for International Cooperation and Erasmus+ Programme and Former Dean of the Technical Sciences Faculty during the period 2009–2012. He holds a Ph.D. degree in Computer Science and Management from Wroclaw University of Technology, postgraduate degree in Microcomputer Systems in Management from University of Economics in Wroclaw and postgraduate degree in IT in Education from Economics University in Katowice. He obtained his engineering degree in Industrial Computer Systems from Technical University of Zielona Gora. He has published more than 55 papers in journals, 15 conference proceedings, including more than 8 papers in journals indexed in the Web of Science. He served as Member of Technical Programme Committee in many International conferences in Poland, India, China, Iran, Romania and Bulgaria.

Blurb

This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.