TY  - GEN
AB  - This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Elvora, Portugal, during November 22⁰́b324, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
AU  - Quaresma, Paulo,
AU  - Camacho, David,
AU  - Yin, Hujun,
AU  - Goncalves, Teresa,
AU  - Julian, Vicente,
AU  - Tallón-Ballesteros, Antonio J.,
CN  - QA76.9.D3
DO  - 10.1007/978-3-031-48232-8
DO  - doi
ID  - 1484203
KW  - Bases de données
KW  - Exploration de données (Informatique)
KW  - Agents intelligents (Logiciels)
KW  - Database management
KW  - Data mining
KW  - Intelligent agents (Computer software)
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-48232-8
N1  - Includes author index.
N2  - This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Elvora, Portugal, during November 22⁰́b324, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
SN  - 9783031482328
SN  - 3031482328
T1  - Intelligent Data Engineering and Automated Learning -- IDEAL 2023 :24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings /
TI  - Intelligent Data Engineering and Automated Learning -- IDEAL 2023 :24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-48232-8
VL  - 14404
ER  -