Overview
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 518)
Included in the following conference series:
Conference proceedings info: ICEIS 2023.
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About this book
This two-volume set constitutes the refereed post-conference proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, which was held in Prague, Czech Republic, during April 2023.
The 41 full papers and 66 short papers presented were carefully reviewed and selected from 213 submissions. They are organized in topical sections as follows:
Part One : Databases and Information Systems Integration; Artificial Intelligence and Decision Support Systems; and Information Systems Analysis and Specification.
Part Two : Software Agents and Internet Computing; Human-Computer Interaction; and Enterprise Architecture.
Keywords
Table of contents (17 papers)
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Databases and Information Systems Integration
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Artificial Intelligence and Decision Support Systems
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Information Systems Analysis and Specification
Other volumes
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Enterprise Information Systems
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Enterprise Information Systems
Editors and Affiliations
Bibliographic Information
Book Title: Enterprise Information Systems
Book Subtitle: 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24–26, 2023, Revised Selected Papers, Part I
Editors: Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-031-64748-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-64747-5Published: 26 July 2024
eBook ISBN: 978-3-031-64748-2Published: 25 July 2024
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XVIII, 368
Number of Illustrations: 22 b/w illustrations, 98 illustrations in colour
Topics: Computer Applications, Artificial Intelligence, Enterprise Architecture, Probability and Statistics in Computer Science, Operating Systems