Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021 (Virtual Event, September 13-17)

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021 (Virtual Event, September 13-17)

Michael Kamp , Irena Koprinska , Adrien Bibal
まだ評価がありません
2022 · 英語 · キンドル
棚に追加

この本を評価する


ブックジャーナルをエクスポート

説明

This comprehensive two-volume set delves into the latest advancements in machine learning and knowledge discovery in databases, capturing the essence of the workshops held during a pivotal virtual event in September 2021. Scholars and practitioners alike converge to explore cutting-edge research that spans a variety of algorithms, methodologies, and applications.

Within these proceedings, readers will find a diverse range of topics reflecting the interdisciplinary nature of the field. Contributions from a multitude of experts reveal innovative approaches to data analysis, artificial intelligence, and their implications for real-world challenges. The collaborative spirit of the workshops fosters a rich dialogue among researchers, enlightening discussions that are vital for pushing the boundaries of technology.

The volumes serve not only as a repository of scholarly work but also as a stepping stone for future research endeavors. Each paper encapsulates profound insights that can inspire both novice and experienced researchers in advancing their own work.

Overall, this collection stands as a testament to the vibrant international community dedicated to enhancing our understanding of machine learning and knowledge discovery, making it an invaluable resource for anyone interested in the intersection of these dynamic fields.

本の詳細

形式 キンドル
ページ数 1,024ページ
言語 英語
公開されました Feb 18, 2022
出版社 Springer

ジャンル

類似の書籍

棚に追加

この本を評価する


ブックジャーナルをエクスポート