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Intelligent Data Engineering­ and Automated Learning – ­IDEAL 2022
23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (Lecture Notes in Computer Science)
By Hujun Yin (Edited by), David Camacho (Edited by), Peter Tino (Edited by)

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Format
Paperback, 551 pages
Published
Switzerland, 1 November 2022

This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.
The 52 full papers included in this book were carefully reviewed and selected from 79 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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Product Description

This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.
The 52 full papers included in this book were carefully reviewed and selected from 79 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.

Product Details
EAN
9783031217524
ISBN
3031217527
Other Information
149 Illustrations, color; 22 Illustrations, black and white; XVII, 551 p. 171 illus., 149 illus. in color.
Dimensions
23.4 x 15.6 x 3 centimeters (0.87 kg)

Table of Contents

Big Data Analytics.- Machine Learning & Deep Learning.- Data Mining.- Information Retrieval and Management.- Bio- and Neuro-Informatics.- Bio-Inspired Models (including Neural Networks, Evolutionary Computation and Swarm Intelligence) .- Agents and Hybrid Intelligent Systems.- Real-world Applications of Intelligent Techniques and AI.

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