Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12977)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2021.
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Table of contents (49 papers)
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Generative Models
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Search and optimization
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. Applied Data Science Track
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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
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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
- applied computing
- computer vision
- computing methodologies
- correlation analysis
- data mining
- databases
- image analysis
- image processing
- image reconstruction
- information retrieval
- law, social and behavioral sciences
- learning
- machine learning
- neural networks
- probability
- probability and statistics
- semantics
- signal processing
- stochastic processes
About this book
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.
The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions.
The volumes are organized in topical sections as follows:
Research Track:
Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications.
Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety.
Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics.
Applied Data Science Track:
Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation.
Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases. Research Track
Book Subtitle: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part III
Editors: Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-86523-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86522-1Published: 11 September 2021
eBook ISBN: 978-3-030-86523-8Published: 10 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXV, 831
Number of Illustrations: 13 b/w illustrations, 226 illustrations in colour
Topics: Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences, Data Mining and Knowledge Discovery, Numeric Computing, Image Processing and Computer Vision