説明
The compilation presents a diverse array of papers stemming from various workshops associated with the prestigious ECML PKDD 2022 conference in Grenoble, France. It encapsulates the latest insights and advancements in machine learning and knowledge discovery within databases, showcasing innovative research and methodologies from leading experts in the field.
Spanning a wide range of topics, the contributions within this volume reflect the collaborative efforts of researchers who are pushing the boundaries of what's possible in data science and machine learning. These discussions not only highlight current trends and challenges but also serve as a springboard for future exploration and development in this rapidly evolving domain.
Spanning a wide range of topics, the contributions within this volume reflect the collaborative efforts of researchers who are pushing the boundaries of what's possible in data science and machine learning. These discussions not only highlight current trends and challenges but also serve as a springboard for future exploration and development in this rapidly evolving domain.
本の詳細
形式
キンドル
ページ数
842ページ
言語
英語
公開されました
Jan 30, 2023
出版社
Springer
ISBN-10
3031236335
ISBN-13
9783031236334