Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12975)
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 (48 papers)
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Time Series, Streams, and Sequence Models
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Transfer and Multi-task Learning
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
- artificial intelligence
- communication systems
- computer graphics
- computer networks
- computer systems
- computer vision
- data mining
- education
- image processing
- knowledge representation and reasoning
- law, social and behavioral sciences
- machine learning
- multivariate statisctics
- network protocols
- neural networks
- probability and statistics
- signal processing
- wireless telecommunication systems
About this book
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 I
Editors: Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-86486-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-86485-9Published: 10 September 2021
eBook ISBN: 978-3-030-86486-6Published: 09 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLI, 806
Number of Illustrations: 14 b/w illustrations, 218 illustrations in colour
Topics: Artificial Intelligence, Computer Systems Organization and Communication Networks, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Data Mining and Knowledge Discovery, Image Processing and Computer Vision