Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13714)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference proceedings info: ECML PKDD 2022.
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Table of contents (44 papers)
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Front Matter
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Networks and Graphs
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Front Matter
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Knowledge Graphs
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Front Matter
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Social Network Analysis
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Front Matter
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Other Volumes
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Machine Learning and Knowledge Discovery in Databases
About this book
Analysis” and “Contextualized Graph Embeddings for Adverse Drug Event Detection” are licensed under the
terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/
by/4.0/). For further details see license information in the chapter.
Editors and Affiliations
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Grenoble Alpes University, Saint Martin d'Hères, France
Massih-Reza Amini
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INSA Rouen Normandy, Saint Etienne du Rouvray, France
Stéphane Canu
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Ruhr-Universität Bochum, Bochum, Germany
Asja Fischer
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KU Leuven, Leuven, Belgium
Tias Guns
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Central European University, Vienna, Austria
Petra Kralj Novak
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Aristotle University of Thessaloniki, Thessaloniki, Greece
Grigorios Tsoumakas
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases
Book Subtitle: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II
Editors: Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-26390-3
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 2023
Softcover ISBN: 978-3-031-26389-7Published: 17 March 2023
eBook ISBN: 978-3-031-26390-3Published: 16 March 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLVII, 759
Number of Illustrations: 6 b/w illustrations, 193 illustrations in colour
Topics: Artificial Intelligence, Computer Systems Organization and Communication Networks, Machine Learning, Graph Theory, Mathematical Models of Cognitive Processes and Neural Networks, Applied Linguistics