DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets

Matteo Corain, Paolo Garza, Abolfazl Asudeh. DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. In 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021. pages 37-48, IEEE, 2021. [doi]

Abstract

Abstract is missing.