Intelligent Data Engineering and Automated Learning – IDEAL 2022
23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings
Seiten
2022
|
1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-21752-4 (ISBN)
Springer International Publishing (Verlag)
978-3-031-21752-4 (ISBN)
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.
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 | 23.11.2022 |
|---|---|
| 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 |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85
