Machine Learning and Knowledge Discovery in Databases

Discover the cutting-edge advancements in the field of data science with "Machine Learning and Knowledge Discovery in Databases," authored by Ulf Brefeld. Published by Springer Nature Switzerland AG in 2019, this comprehensive paperback spans 706 pages and delves into the latest research presented at the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2018) held in Dublin, Ireland. This essential three-volume collection, LNAI 11051 – 11053, features peer-reviewed contributions organized into topical sections, including a focus on adversarial learning. Perfect for researchers, practitioners, and students alike, this book is a valuable resource for anyone looking to deepen their understanding of machine learning and its applications in knowledge discovery. Enhance your expertise and stay ahead in this rapidly evolving field by adding this insightful volume to your collection.