Machine Learning and Knowledge Discovery in Databases. Research Track

Discover the cutting-edge insights in "Machine Learning and Knowledge Discovery in Databases. Research Track," expertly edited by Nuria Oliver. Published by Springer Nature Switzerland AG, this comprehensive volume is part of the prestigious LNAI series, encompassing volumes 12975 to 12979. This first edition, released in 2021, features a wealth of knowledge derived from the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021), held from September 13-17, 2021.

Spanning an impressive 831 pages, this book offers a deep dive into the latest research and methodologies in machine learning and data mining. Ideal for researchers, practitioners, and students, it provides invaluable perspectives on the evolving landscape of data science. Enhance your understanding of machine learning applications and the discovery of knowledge in databases with this essential resource.