Machine Learning and Knowledge Discovery in Databases. Research Track

Discover the cutting-edge insights in "Machine Learning and Knowledge Discovery in Databases. Research Track," edited by Nuria Oliver. This comprehensive volume, published by Springer Nature Switzerland AG in 2021, encompasses the refereed proceedings of the prestigious European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021), which took place from September 13-17, 2021. Spanning an impressive 806 pages, this first edition brings together the latest research and advancements in the field, making it an essential resource for both scholars and practitioners. Dive into the world of machine learning and enhance your understanding of knowledge discovery with this authoritative text that captures the essence of contemporary developments in data science.