Opis
This comprehensive volume presents the latest findings from the European Conference on Machine Learning and Knowledge Discovery in Databases held in Würzburg, Germany. The collaborative efforts of prominent researchers such as Ulf Brefeld, Elisa Fromont, and others shine a spotlight on innovative methodologies and applications that push the boundaries of machine learning.
Readers will find a rich collection of papers that not only showcase cutting-edge research but also emphasize the practical implications of knowledge discovery. With expert insights and thoughtful discussions, this work serves as a valuable resource for academics and practitioners alike, fostering a deeper understanding of the rapidly evolving landscape of data science.
Readers will find a rich collection of papers that not only showcase cutting-edge research but also emphasize the practical implications of knowledge discovery. With expert insights and thoughtful discussions, this work serves as a valuable resource for academics and practitioners alike, fostering a deeper understanding of the rapidly evolving landscape of data science.
Szczegóły książki
Format
Kindle
Strony
1,497 stron
Język
Angielski
Opublikowany
Apr 30, 2020
Wydawca
Springer