Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12978)
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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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.
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Keywords
- computer graphics
- computer networks
- computer security
- computer systems
- computer vision
- data mining
- data security
- databases
- education
- knowledge representation and reasoning
- law, social and behavioral sciences
- machine learning
- network protocols
- neural networks
- probability and statistics
- signal processing
Table of contents (33 papers)
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Front Matter
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Anomaly Detection and Malware
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Front Matter
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Spatio-Temporal Data
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Front Matter
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E-commerce and Finance
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Front Matter
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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
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Book Subtitle: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part IV
Editors: Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, Jose A. Lozano
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-86514-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86513-9Published: 10 September 2021
eBook ISBN: 978-3-030-86514-6Published: 09 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXIV, 554
Number of Illustrations: 19 b/w illustrations
Topics: Artificial Intelligence, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Information Systems Applications (incl. Internet)
