Intelligent Data Engineering and Automated Learning - IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings /

This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to t...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Yin, Hujun (Editor), Camacho, David (Editor), Tino, Peter (Editor), Allmendinger, Richard (Editor), Tallón-Ballesteros, Antonio J. (Editor), Tang, Ke (Editor), Cho, Sung-Bae (Editor), Novais, Paulo (Editor), Nascimento, Susana (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Information Systems and Applications, incl. Internet/Web, and HCI ; 13113
Subjects:	Data mining. Machine learning. Software engineering. Education-Data processing. Optical data processing. Data Mining and Knowledge Discovery. Machine Learning. Software Engineering. Computers and Education. Image Processing and Computer Vision. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. 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.
Physical Description:	1 online resource (XVIII, 649 pages 224 illustrations, 173 illustrations in color.)
ISBN:	9783030916084
DOI:	10.1007/978-3-030-91608-4