Intelligent Data Engineering and Automated Learning – IDEAL 2025

Intelligent Data Engineering and Automated Learning – IDEAL 2025

  • Luis Martínez
  • David Camacho
  • Hujun Yin
  • Bapi Dutta
  • Raciel Yera
  • Rosa M. Rodríguez Domínguez
  • Antonio Tallón-Ballesteros
Publisher:Springer NatureISBN 13: 9783032104892ISBN 10: 3032104890

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Know about the book -

Intelligent Data Engineering and Automated Learning – IDEAL 2025 is written by Luis Martínez and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3032104890 (ISBN 10) and 9783032104892 (ISBN 13).

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén, Spain, during November 13–15, 2025. The 83 full papers and 12 short papers included in the proceedings were carefully reviewed and selected from 146 submissions. The core themes of IDEAL 2025 included Trustworthy Artificial Intelligence and Generative AI, Aenetic AI, LLMs, Federated Learning, Machine Learning & Deep Learning for Real-World Applications, Data Mining and Pattern Recognition, Cybersecurity, Information Retrieval and Management, and Hybrid Intelligent Systems and Agents.