Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14175)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2023.
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About this book
The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.
The volumes are organized in topical sections as follows:
Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.
Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.
Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.
Part V: Robustness; Time Series; Transfer and Multitask Learning.Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.
Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.
Keywords
- artificial intelligence
- computer hardware
- computer networks
- computer security
- computer systems
- computer vision
- databases
- education
- engineering
- Human-Computer Interaction (HCI)
- image processing
- information retrieval
- internet
- learning
- machine learning
- mathematics
- network protocols
- neural networks
- sensors
- signal processing
Table of contents (34 papers)
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Sustainability, Climate, and Environment
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Transportation and Urban Planning
Other volumes
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Machine Learning and Knowledge Discovery in Databases: Research Track
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Machine Learning and Knowledge Discovery in Databases: Research Track
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Machine Learning and Knowledge Discovery in Databases: Research Track
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Machine Learning and Knowledge Discovery in Databases: Research Track
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Machine Learning and Knowledge Discovery in Databases: Research Track
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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track
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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track
Book Subtitle: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part VII
Editors: Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-43430-3
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: 978-3-031-43429-7Published: 17 September 2023
eBook ISBN: 978-3-031-43430-3Published: 16 September 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LIV, 381
Number of Illustrations: 3 b/w illustrations, 131 illustrations in colour
Topics: Artificial Intelligence, Computer Systems Organization and Communication Networks, Computing Milieux, Computer Imaging, Vision, Pattern Recognition and Graphics, Software Engineering/Programming and Operating Systems