02933nam 22006495 450 99669166400331620251106115932.03-032-10489-010.1007/978-3-032-10489-2(MiAaPQ)EBC32405108(Au-PeEL)EBL32405108(CKB)42032179000041(DE-He213)978-3-032-10489-2(EXLCZ)994203217900004120251106d2026 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Data Engineering and Automated Learning – IDEAL 2025 26th International Conference, Jaén, Spain, November 13–15, 2025, Proceedings, Part II /edited by Luis Martínez, David Camacho, Hujun Yin, Bapi Dutta, Raciel Yera, Rosa M. Rodríguez Domínguez, Antonio Tallón-Ballesteros1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (840 pages)Lecture Notes in Computer Science,1611-3349 ;162393-032-10488-2 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.Lecture Notes in Computer Science,1611-3349 ;16239Data miningMachine learningSoftware engineeringEducationData processingComputer visionData Mining and Knowledge DiscoveryMachine LearningSoftware EngineeringComputers and EducationComputer VisionData mining.Machine learning.Software engineering.EducationData processing.Computer vision.Data Mining and Knowledge Discovery.Machine Learning.Software Engineering.Computers and Education.Computer Vision.006.312Martinez Luis0MiAaPQMiAaPQMiAaPQBOOK996691664003316Intelligent Data Engineering and Automated Learning – IDEAL 20254466452UNISA