Intelligent Data Engineering and Automated Learning – IDEAL 2022 -

Intelligent Data Engineering and Automated Learning – IDEAL 2022

23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings
Buch | Softcover
XVII, 551 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-21752-4 (ISBN)
96,29 inkl. MwSt
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.
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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XVII, 551 p. 171 illus., 149 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 854 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • Computer Hardware • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Databases • Deep learning • Education • Engineering • Image Processing • Informatics • Internet • learning • machine learning • Mathematics • Network Protocols • Neural networks • Research • Signal Processing • Telecommunication networks • Telecommunication Systems
ISBN-10 3-031-21752-7 / 3031217527
ISBN-13 978-3-031-21752-4 / 9783031217524
Zustand Neuware
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