Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13713)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2022.
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Table of contents (43 papers)
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Clustering and Dimensionality Reduction
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Anomaly Detection
Other volumes
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Keywords
- artificial intelligence
- clustering algorithms
- computer security
- computer vision
- data mining
- databases
- education
- engineering
- evolutionary algorithms
- image analysis
- image processing
- information retrieval
- internet
- learning
- machine learning
- mathematics
- neural networks
- recommendation
- recommender systems
- signal processing
About this book
The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions.
The volumes are organized in topical sections as follows:
Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning;
Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems;
Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search;
Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; .
Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability;
Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.
Editors and Affiliations
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 I
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/10.1007/978-3-031-26387-3
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: 978-3-031-26386-6Published: 17 March 2023
eBook ISBN: 978-3-031-26387-3Published: 16 March 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLVI, 729
Number of Illustrations: 14 b/w illustrations, 216 illustrations in colour
Topics: Artificial Intelligence, Computing Milieux, Data Mining and Knowledge Discovery, Computer Applications, Mathematics of Computing, Theory of Computation