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Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making - 5th International Conference, ICIKS 2021 (Virtual Event)

Saad, Inès; Rosenthal-Sabroux, Camille; Gargouri, Faiez; Arduin, Pierre-Emmanuel (2021), Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making - 5th International Conference, ICIKS 2021 (Virtual Event), Springer : Berlin Heidelberg. 10.1007/978-3-030-85977-0

Type
Ouvrage
Date
2021
Publisher
Springer
Series title
Lecture Notes in Business Information Processing
Series number
425
Published in
Berlin Heidelberg
ISBN
978-3-030-85976-3
Publication identifier
10.1007/978-3-030-85977-0
Metadata
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Author(s)
Saad, Inès
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Rosenthal-Sabroux, Camille
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Gargouri, Faiez
Institut Supérieur d'Informatique et de Multimédia de Sfax [ISIMS]
Arduin, Pierre-Emmanuel
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Information and Knowledge Systems, ICIKS 2021, which was held online during June 22-23, 2021.The International Conference on Information and Knowledge Systems (ICIKS 2021) gathered both researchers and practitioners in the fields of Information Systems, Artificial Intelligence, Knowledge Management and Decision Support. ICIKS seeks to promote discussions on various organizational, technological, and socio-cultural aspects of research in the design and use of information and knowledge systems in organizations.The 10 full and 2 short papers presented in this volume were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: knowledge systems and decision making; machine learning, recommender systems, and knowledge systems; and security, artificial intelligence, and information systems.
Subjects / Keywords
decision support systems; information systems; knowledge management; machine learning; recommender systems

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