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Data · dataset · 2025

Orca

Listed in NASA Data Portal

Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach.

Description

It uses a novel pruning rule that allows it to run in nearly linear time. Orca was co-developed by Stephen Bay of ISLE and Mark Schwabacher of NASA ARC.

More information about Orca, including downloadable software, can be found here: http://stephenbay.net/orca/ A conference paper about Orca can be found here: https://dashlink.arc.nasa.gov/paper/mining-distance-based-outliers-in-near-linear-time/

Links

Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
NASA Data Portalf2ccb0f8-1e30-4fca-9928-0ee602058eac12 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · data nasa govconnector:data_nasa_gov@1.0.0
descriptionsource · data nasa govconnector:data_nasa_gov@1.0.0/notes
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
publication_datesource · data nasa govconnector:data_nasa_gov@1.0.0
titlesource · data nasa govconnector:data_nasa_gov@1.0.0/title
updated_datesource · data nasa govconnector:data_nasa_gov@1.0.0