Descrizione
This collection presents the proceedings from the 21st International Conference on Intelligent Data Engineering and Automated Learning, held in Guimaraes, Portugal. It captures pioneering research and innovative practices in data engineering, machine learning, and their various applications across different fields. The contributions come from leading experts who share their findings and insights, providing a comprehensive overview of the current state-of-the-art in the domain.
The volume highlights the evolving landscape of intelligent systems and the integration of automated learning techniques. Within its pages, readers can explore diverse methodologies and strategies that demonstrate how intelligent data processes can enhance decision-making and improve efficiency in real-world scenarios. The rigorous peer-review process ensures that each piece contributes valuable knowledge and scientific rigor to the discussions surrounding data intelligence.
Both volumes serve as an invaluable resource for researchers, practitioners, and students interested in the intersection of artificial intelligence and data engineering. They reflect the ongoing advancements and challenges faced in the industry, stimulating further research and collaboration in this dynamic field.
The volume highlights the evolving landscape of intelligent systems and the integration of automated learning techniques. Within its pages, readers can explore diverse methodologies and strategies that demonstrate how intelligent data processes can enhance decision-making and improve efficiency in real-world scenarios. The rigorous peer-review process ensures that each piece contributes valuable knowledge and scientific rigor to the discussions surrounding data intelligence.
Both volumes serve as an invaluable resource for researchers, practitioners, and students interested in the intersection of artificial intelligence and data engineering. They reflect the ongoing advancements and challenges faced in the industry, stimulating further research and collaboration in this dynamic field.
Dettagli del libro
Formato
Kindle
Pagine
741 pagine
Lingua
Inglese
Pubblicato
ott 29, 2020
Editore
Springer
ISBN-10
3030623629
ISBN-13
9783030623623