Intelligent Data Engineering and Automated Learning – IDEAL 2022 : 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings / / edited by Hujun Yin, David Camacho, Peter Tino
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| Titolo: |
Intelligent Data Engineering and Automated Learning – IDEAL 2022 : 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings / / edited by Hujun Yin, David Camacho, Peter Tino
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (564 pages) |
| Disciplina: | 006.312 |
| Soggetto topico: | Data mining |
| Database management | |
| Application software | |
| Computer networks | |
| Artificial intelligence | |
| Data Mining and Knowledge Discovery | |
| Database Management | |
| Computer and Information Systems Applications | |
| Computer Communication Networks | |
| Artificial Intelligence | |
| Persona (resp. second.): | YinHujun |
| CamachoDavid | |
| TinoPeter | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Big Data Analytics -- Machine Learning & Deep Learning -- Data Mining -- Information Retrieval and Management -- Bio- and Neuro-Informatics -- Bio-Inspired Models (including Neural Networks, Evolutionary Computation and Swarm Intelligence) -- Agents and Hybrid Intelligent Systems -- Real-world Applications of Intelligent Techniques and AI. |
| Sommario/riassunto: | This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022. The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing. |
| Titolo autorizzato: | Intelligent data engineering and automated learning - IDEAL 2022 |
| ISBN: | 9783031217531 |
| 3031217535 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910631095403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Computer Science, . 1611-3349 ; ; 13756