Editors:
- Provides an insight to the practical applications and theoretical foundations of data science
- Details the shortfalls of current tools and techniques used and generating the blueprint of the new technologies
- Includes contributions from academia and industry experts
Part of the book series: Studies in Computational Intelligence (SCI, volume 954)
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Table of contents (16 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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School of Computer Engineering, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India
Siddharth Swarup Rautaray, Hrushikesha Mohanty
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Global Delivery Services, Infor India, Hyderabad, India
Phani Pemmaraju
About the editors
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.
Phani Pemmaraju is Director of Consulting Services at Infor India. He received his MCA degree from the School of Computer and InformationSciences, University of Hyderabad, Hyderabad. He has over 22 years of experience in the field of software development. He has got certifications in APICS – CPIM Certified in basics of supply chain management and Microsoft certified professional. He has been a member of the advisory board, e-governance implementation at the University of Hyderabad. He has published several research articles and delivered invited lectures in different institutes.
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.
Bibliographic Information
Book Title: Trends of Data Science and Applications
Book Subtitle: Theory and Practices
Editors: Siddharth Swarup Rautaray, Phani Pemmaraju, Hrushikesha Mohanty
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-33-6815-6
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-33-6814-9Published: 22 March 2021
Softcover ISBN: 978-981-33-6817-0Published: 22 March 2022
eBook ISBN: 978-981-33-6815-6Published: 21 March 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 341
Number of Illustrations: 31 b/w illustrations, 140 illustrations in colour
Topics: Data Structures and Information Theory, Database Management, Data Mining and Knowledge Discovery, Artificial Intelligence