Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/41362

Title: Intelligent Data Engineering and Automated Learning – IDEAL 2024
Authors: Nogueira, Vitor
Editors: Julian, Vicente
Camacho, David
Yin, Hujun
Nogueira, Vitor
Novais, Paulo
Tallón-Ballesteros, Antonio
Keywords: Data Mining and Knowledge
Machine Learning
Issue Date: Nov-2024
Publisher: Springer Cham
Abstract: This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2024, held in Valencia, Spain, during November 20–22, 2024. The 86 full papers and 6 short papers presented in this book were carefully reviewed and selected from 130 submissions. IDEAL 2024 is focusing on Big Data Analytics and Privacy, Machine Learning & Deep Learning for Real-World Applications, Data Mining and Pattern Recognition, Information Retrieval and Management, Bio and Neuro-Informatics, and Hybrid Intelligent Systems and Agents.
URI: https://link.springer.com/book/10.1007/978-3-031-77738-7?sap-outbound-id=8E60A3B322685E0644F6A6F4D74D9C63B6CFFD48&utm_source=standard&utm_medium=email&utm_campaign=000_LAN36_0000019083_Book+author+congrats+NEW&utm_content=EN_34155_20241124&mkt-key=42010A0550671EDAA6EA4E53A0E28D99
http://hdl.handle.net/10174/41362
Type: book
Appears in Collections:VISTALab - Publicações - Livros

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