Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13113)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: IDEAL 2021.
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Table of contents (61 papers)
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Main Track
Other volumes
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Intelligent Data Engineering and Automated Learning – IDEAL 2021
Keywords
- applied computing
- bioinformatics
- computer vision
- computing methodologies
- data analytics
- data management systems
- data mining
- deep learning
- deep neural networks
- human computer interaction
- image processing
- informatoin retrieval
- machine learning
- neural neetworks
- neural networks
- neural systems
- signal processing
- web applications
About this book
The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Data Engineering and Automated Learning – IDEAL 2021
Book Subtitle: 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings
Editors: Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, … Susana Nascimento
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-91608-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-91607-7Published: 21 November 2021
eBook ISBN: 978-3-030-91608-4Published: 23 November 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 649
Number of Illustrations: 51 b/w illustrations, 173 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Machine Learning, Software Engineering, Computers and Education, Image Processing and Computer Vision