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