Description: Intelligent Data Engineering and Automated Learning – Ideal 2021 : 22nd International Conference, Ideal 2021, Manchester, Uk, November 25–27, 2021, Proceedings, Paperback by Yin, Hujun (EDT); Camacho, David (EDT); Tino, Peter (EDT); Allmendinger, Richard (EDT); Tallon-Ballesteros, Antonio J. (EDT), ISBN 3030916073, ISBN-13 9783030916077, Brand New, Free shipping in the US 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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Book Title: Intelligent Data Engineering and Automated Learning – Ideal 2021
Number of Pages: Xviii, 649 Pages
Publication Name: Intelligent Data Engineering and Automated Learning - IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Item Weight: 35.6 Oz
Type: Textbook
Item Length: 9.3 in
Author: David Camacho
Subject Area: Mathematics, Computers
Series: Lecture Notes in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
