Image de couverture de livre

Intelligent Data Engineering and Automated Learning – IDEAL 2024 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part II /

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...

Description complète

Enregistré dans:
Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Julian, Vicente (Éditeur intellectuel), Camacho, David (Éditeur intellectuel), Yin, Hujun (Éditeur intellectuel), Alberola, Juan M. (Éditeur intellectuel), Nogueira, Vitor Beires (Éditeur intellectuel), Novais, Paulo (Éditeur intellectuel), Tallón-Ballesteros, Antonio (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Édition:1st ed. 2025.
Collection:Lecture Notes in Computer Science, 15347
Sujets:
Data mining.
Machine learning.
Software engineering.
Education > Data processing.
Computer vision.
Data Mining and Knowledge Discovery.
Machine Learning.
Software Engineering.
Computers and Education.
Computer Vision.
Accès en ligne:https://doi.org/10.1007/978-3-031-77738-7
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Description
Résumé: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.
Description matérielle:XXVII, 570 p. 176 illus., 143 illus. in color. online resource.
ISBN:9783031777387
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-77738-7

Documents similaires