Dettagli del libro
Formato
Kindle
Pagine
1,075
Lingua
Inglese
Pubblicato
Jan 30, 2023
Editore
Springer
Descrizione
This collection presents a comprehensive array of research and findings derived from the international workshops held during the ECML PKDD 2022 conference in Grenoble, France. Focused on the evolving landscape of machine learning and its integration with knowledge discovery in databases, the compilation offers invaluable insights into cutting-edge methodologies and applications in these fields.
Scholars and practitioners alike will find the contributions invaluable, as the authors delve into an array of topics, from theoretical advancements to practical implementations. Each paper reflects the collaborative efforts of esteemed researchers, highlighting the dynamic interplay between machine learning techniques and the burgeoning requirements of data-driven decision-making.
Not only does this volume serve as a pivotal resource for understanding contemporary trends and challenges, but it also paves the way for future exploration in machine learning. It encourages readers to engage with the material critically, fostering a deeper appreciation for the innovative approaches that underpin the growing intersection of these disciplines.
Scholars and practitioners alike will find the contributions invaluable, as the authors delve into an array of topics, from theoretical advancements to practical implementations. Each paper reflects the collaborative efforts of esteemed researchers, highlighting the dynamic interplay between machine learning techniques and the burgeoning requirements of data-driven decision-making.
Not only does this volume serve as a pivotal resource for understanding contemporary trends and challenges, but it also paves the way for future exploration in machine learning. It encourages readers to engage with the material critically, fostering a deeper appreciation for the innovative approaches that underpin the growing intersection of these disciplines.
Generi
Scienza e Tecnologia