Trends of Data Science and Applications: Theory and Practices: 954 (Studies in Computational Intelligence) - Tapa dura

Acerca del autor

Siddharth Swarup Rautaray is an Associate Professor at the School of Computer Engineering, KIIT-Deemed to be University, Bhubaneswar, India. He received his Ph.D. in Information Technology from the Indian Institute of Information Technology, Allahabad, U.P., India. He has over 9 years of teaching and research experience. His research interest areas are big data analytics, image processing, intelligent systems, human-computer interaction, and similar innovative areas. His research contribution includes 05 co-edited proceedings/books, over 75 research publications in reputed conferences, book chapters, and journals. As an organizing chair, he has organized 05 international conferences and has been part of different core committees of other conferences and workshops. He has delivered invited talks in several workshops and conferences.

Hrushikesha Mohanty, Professor at the School of Computer and Information Sciences, University of Hyderabad, Hyderabad is currently on lien to serve as the Vice-Chancellor of KIIT, Deemed to be University, Bhubaneswar. His research interests include distributed computing, software engineering, and computational social science. Before joining the University of Hyderabad, he worked at Electronics Corporation of India Limited, Hyderabad for developing strategic real-time systems. Other than computer science researchpublications, he regularly writes Odia poems, stories, and a weekly Odia column MoKatha. 

De la contraportada

This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7 10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.