Machine Learning and Knowledge Discovery in Databases

Discover the fascinating world of data with Machine Learning and Knowledge Discovery in Databases by Tijl De Bie. Published by Springer Nature Switzerland AG in 2021, this comprehensive paperback spans 742 pages and delves into the intricate relationship between machine learning and data mining. This first edition is perfect for both beginners and seasoned professionals looking to enhance their understanding of applied data science.

The book is structured into insightful sections covering various applications, including recommendation systems, anomaly detection, web mining, activity recognition, and spatiotemporal data analysis. Additionally, it explores the social impact of data science, addressing topics such as computational social science and initiatives for social good.

Whether you are a student, researcher, or industry expert, this book is an essential resource for mastering the techniques and methodologies that drive innovation in the field of data science.