Outlier Detection
Outlier Detection is a scholarly work by Erich Schubert and Arthur Zimek, published in 2017. The main subjects of the publication include pattern recognition, computer science, artificial intelligence, multicollinearity, fault detection and isolation, and anomaly detection.