A linear time method for the detection of collective and point anomalies (2022)

First Author: Fisch A
Attributed to:  Isaac Newton Institute for Mathematical Sciences funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/sam.11586

Publication URI: http://dx.doi.org/10.1002/sam.11586

Type: Journal Article/Review

Parent Publication: Statistical Analysis and Data Mining: The ASA Data Science Journal

Issue: 4