説明
This comprehensive two-volume set showcases the proceedings from a series of international workshops held during ECML PKDD 2021. The virtual event, which took place from September 13 to 17, gathered experts from various domains to share their insights and breakthroughs in machine learning and knowledge discovery in databases. Filled with cutting-edge research, the volumes highlight diverse topics that are reshaping the fields of data science and artificial intelligence.
Contributed by a multitude of researchers and practitioners, the papers traverse a wide array of methodologies and applications, reflecting the rich tapestry of ongoing work in the discipline. From innovative algorithms to novel data mining techniques, the contributions are designed to push the boundaries of what is possible in machine learning, offering fresh perspectives and future directions for investigation.
Readers engaged in academic research or practical applications will find valuable resources within these proceedings, whether for inspiration or as a tool to enhance their understanding of contemporary challenges and solutions in machine learning and database knowledge discovery.
Contributed by a multitude of researchers and practitioners, the papers traverse a wide array of methodologies and applications, reflecting the rich tapestry of ongoing work in the discipline. From innovative algorithms to novel data mining techniques, the contributions are designed to push the boundaries of what is possible in machine learning, offering fresh perspectives and future directions for investigation.
Readers engaged in academic research or practical applications will find valuable resources within these proceedings, whether for inspiration or as a tool to enhance their understanding of contemporary challenges and solutions in machine learning and database knowledge discovery.
本の詳細
形式
キンドル
ページ数
1,572ページ
言語
英語
公開されました
Feb 17, 2022
出版社
Springer
