Record link: 
http://hdl.handle.net/20.500.12708/212693
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Title: 
Database and Expert Systems Applications : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II
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Citation: 
Christine Strauß, Amagasa, T., Gabriele Anderst-Kotsis, Tjoa, A. M., & Khalil, I. (Eds.). (2023). Database and Expert Systems Applications : 34th International Conference, DEXA 2023, Penang, Malaysia, August 28–30, 2023, Proceedings, Part II (Vol. 14147). Springer. https://doi.org/10.1007/978-3-031-39821-6
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Publisher DOI: 
10.1007/978-3-031-39821-6
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Publication Type: 
Proceedings - Full Paper Book
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Language: 
English
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Editors: 
Christine Strauß 
Amagasa, Toshiyuki 
Gabriele Anderst-Kotsis 
Tjoa, A Min 
Khalil, Ismail 
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Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
E194-04 - Forschungsbereich Data Science 
E056-19 - Fachbereich Precision Livestock Farming 
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Series: 
Lecture Notes in Computer Science 
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ISBN: 
978-3-031-39820-9
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Volume: 
14147
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Date (published): 
2023
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Number of Pages: 
478
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Publisher: 
Springer
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Peer reviewed: 
Yes
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Keywords: 
artificial intelligence; communication systems; knowledge management; big data; expert system; data mining; databases; information retrieval; digital libraries; mobile computing; machine learning; network protocols; Web services; data visualisation; pervasive computing
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Abstract: 
The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023. The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows: Part I: Data modeling; database design; query optimization; knowledge representation; Part II: Rule-based systems; natural language processing; deep learning; neural networks.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
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