Opis
This compilation brings together a diverse array of research presented at the international workshops held during the ECML PKDD 2022 conference in Grenoble, France. It offers readers a deep dive into the latest advancements in machine learning and knowledge discovery in databases, showcasing cutting-edge methodologies and applications that are shaping the field.
Contributors from various domains contribute their insights and findings, illustrating the interdisciplinary nature of machine learning. Each paper encapsulates innovative techniques aimed at enhancing data analysis processes, thereby providing valuable perspectives for both practitioners and researchers.
As the landscape of artificial intelligence evolves, this volume serves as a significant resource for understanding the practical implementations and theoretical foundations of machine learning, emphasizing the importance of knowledge discovery in contemporary data-driven environments.
Contributors from various domains contribute their insights and findings, illustrating the interdisciplinary nature of machine learning. Each paper encapsulates innovative techniques aimed at enhancing data analysis processes, thereby providing valuable perspectives for both practitioners and researchers.
As the landscape of artificial intelligence evolves, this volume serves as a significant resource for understanding the practical implementations and theoretical foundations of machine learning, emphasizing the importance of knowledge discovery in contemporary data-driven environments.
Szczegóły książki
Format
Miękka okładka
Strony
656 stron
Język
Angielski
Opublikowany
Jan 31, 2023
Wydawca
Springer
ISBN-10
3031236173
ISBN-13
9783031236174