Intelligent data engineering and automated learning -- IDEAL 2022 : 23rd International Conference, Manchester, UK, November 24-26, 2022 : proceedings / Hujun Yin, David Camacho, Peter Tino (eds.).
IDEAL (Conference) (23rd : 2022 : Manchester, England); Yin, Hujun, 1962- editor.; Camacho, David, editor.; Tino, Peter, editor.
2022
QA76.9.D3
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Title Intelligent data engineering and automated learning -- IDEAL 2022 : 23rd International Conference, Manchester, UK, November 24-26, 2022 : proceedings / Hujun Yin, David Camacho, Peter Tino (eds.).
Meeting Name IDEAL (Conference) (23rd : 2022 : Manchester, England)
ISBN 9783031217531 (electronic bk.)
3031217535 (electronic bk.)
9783031217524
3031217527
DOI https://doi.org/10.1007/978-3-031-21753-1
Published Cham : Springer, 2022.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-031-21753-1 doi
Call Number QA76.9.D3
Dewey Decimal Classification 005.74
Summary 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.
Note Conference proceedings.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Yin, Hujun, 1962- editor.
Camacho, David, editor.
Tino, Peter, editor.
Series Lecture notes in computer science ; 13756.
Available in Other Form Intelligent data engineering and automated learning - IDEAL 2022.
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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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