Distance-based detection and prediction of outliers

By Fabrizio Angiulli, Stefano Basta, Clara Pizzuti. IEEE Transactions on Knowledge and Data Engineering, 2006

305 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Outlier Detection (2008, background): “This is closely related to the standard supervised learning problem except that all the training samples have the same normal label.”
Progress in Outlier Detection Techniques: A Survey (2019, background): “[7] differ a bit from the traditional approach of targeting the development of techniques to detect outliers in an input dataset, to that which can learn a model and predict outliers in an incoming dataset.”
Anomaly Detection in Streams with Extreme Value Theory (2017, background): “The main approaches are distance based [7], nearest-neighbor based [11] or clustering based [14] and are very well detailed in [13].”