Intelligent Data Engineering and Automated Learning – IDEAL 2021

Intelligent Data Engineering and Automated Learning – IDEAL 2021
Author :
Publisher : Springer Nature
Total Pages : 663
Release :
ISBN-10 : 9783030916084
ISBN-13 : 3030916081
Rating : 4/5 (84 Downloads)

Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2021 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2021 written by Hujun Yin and published by Springer Nature. This book was released on 2021-11-23 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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