Machine Learning and Knowledge Discovery in Databases. Research Track

Discover the cutting-edge insights in "Machine Learning and Knowledge Discovery in Databases. Research Track," authored by Nuria Oliver and published by Springer Nature Switzerland AG in 2021. This comprehensive volume, part of the multi-volume set LNAI 12975 to 12979, presents the refereed proceedings from the prestigious European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021), held from September 13-17, 2021. With an impressive page count of 817, this 1st edition is a must-have for researchers and practitioners in the field. Dive into the latest advancements and methodologies that are shaping the future of machine learning and knowledge discovery, and enhance your understanding of this rapidly evolving domain. Whether you are a seasoned expert or a newcomer, this book is an essential resource for anyone interested in the intersection of machine learning and data analysis.