描述
This comprehensive collection showcases cutting-edge research presented at the European Conference on Machine Learning and Knowledge Discovery in Databases. Taking place in the vibrant city of Turin, the proceedings encapsulate a wealth of innovative ideas and advancements in the field.
Contributions from prominent researchers, including Danai Koutra and Claudia Plant, highlight the intersection of machine learning and practical applications in knowledge discovery. Each paper is meticulously reviewed, ensuring high standards and relevance to contemporary challenges in data science.
Readers will find a spectrum of topics, reflecting the dynamic nature of the discipline and the collaborative spirit of the conference. This collection promises to be an invaluable resource for both newcomers and seasoned experts alike, eager to deepen their understanding of the latest developments in this ever-evolving arena.
Contributions from prominent researchers, including Danai Koutra and Claudia Plant, highlight the intersection of machine learning and practical applications in knowledge discovery. Each paper is meticulously reviewed, ensuring high standards and relevance to contemporary challenges in data science.
Readers will find a spectrum of topics, reflecting the dynamic nature of the discipline and the collaborative spirit of the conference. This collection promises to be an invaluable resource for both newcomers and seasoned experts alike, eager to deepen their understanding of the latest developments in this ever-evolving arena.
書籍詳情
格式
Kindle
頁數
1,353 頁
語言
英語
已出版
Sep 16, 2023
出版商
Springer
ISBN-10
3031434153
ISBN-13
9783031434150