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[null,"1.","Record Nr.",null,"UNINA990004257660403321"]
[null,null,"Autore",null,"Weldon, Fay <1931- >"]
[null,null,"Titolo",null,"Splitting / Fay Weldon"]
[null,null,"Pubbl/distr/stampa",null,"London : Flamingo, 1995"]
[null,null,"ISBN",null,"0-00-223919-1"]
[null,null,"Descrizione fisica",null,"268 p. ; 24 cm"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"P.3 BR.C.1844"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9911047798303321"]
[null,null,"Autore",null,"Martinez Luis"]
[null,null,"Titolo",null,"Intelligent Data Engineering and Automated Learning – IDEAL 2025 : 26th International Conference, Jaén, Spain, November 13–15, 2025, Proceedings, Part I / / edited by Luis Martínez, David Camacho, Hujun Yin, Bapi Dutta, Raciel Yera, Rosa M. Rodríguez Domínguez, Antonio Tallón-Ballesteros"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"3-032-10486-6"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (0 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 16238"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Computer Vision"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","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. ."]