Overview
- Highlights the latest research on integrated science in the digital age
- Gathers the proceedings of the 2019 International Conference on Integrated Science in Digital Age (ICIS 2019), held in Batumi, Georgia on May 10–12, 2019
- Written by respected experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 78)
Included in the following conference series:
Conference proceedings info: ICIS 2019.
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Table of contents (33 papers)
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Agriculture in Digital Age
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Artificial Intelligence Research
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Business and Finance in Digital Age
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Digital Accounting and Auditing
Other volumes
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Integrated Science in Digital Age
Keywords
About this book
This book gathers selected papers presented at the 2019 International Conference on Integrated Science in Digital Age (ICIS 2019), which was jointly supported by the Institute of Certified Specialists (ICS), Russia and Springer and held in Batumi, Georgia on May 10–12, 2019.
The ICIS 2019 received roughly 50 contributions, by authors hailing from six countries. Following a peer-review process, the Scientific Committee – a multidisciplinary group of 110 experts from 38 countries around the globe – selected roughly 60% for publication. The main topics covered include: Artificial Intelligence Research; Digital Business & Finance; Educational Sciences; Health Management Informatics; Public Administration in the Digital Age; and Social Problem-solving.
Editors and Affiliations
Bibliographic Information
Book Title: Integrated Science in Digital Age
Book Subtitle: ICIS 2019
Editors: Tatiana Antipova
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-22493-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-22492-9Published: 18 June 2019
eBook ISBN: 978-3-030-22493-6Published: 17 June 2019
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XIV, 384
Number of Illustrations: 32 b/w illustrations, 38 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence