Machine Learning and Knowledge Discovery in Databases

Discover the cutting-edge insights in "Machine Learning and Knowledge Discovery in Databases," authored by Ulf Brefeld and published by Springer Nature Switzerland AG in 2020. This comprehensive first edition spans an impressive 766 pages and features the refereed proceedings from the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), held in Würzburg, Germany. With a total of 130 meticulously reviewed regular papers selected from 733 submissions, this collection is an invaluable resource for researchers and practitioners in the fields of artificial intelligence, computer networks, and human-computer interaction. Dive into the latest advancements and methodologies in machine learning and data mining that will enhance your understanding and application of these transformative technologies. Perfect for academics and professionals alike, this book is a must-have for anyone looking to stay at the forefront of the rapidly evolving landscape of data science.