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
- NASA Data Portal dataset page data.nasa.gov/dataset/orca ↗
landing page · from data nasa gov
Catalogue records · 1
- CKAN API data.nasa.gov/api/3/action/package_show?id=f2ccb0f8-1e30-4fca-9928-0ee602058… ↗
metadata API · from data nasa gov
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Data Portal | f2ccb0f8-1e30-4fca-9928-0ee602058eac | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| description | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /notes |
| license_text | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| publication_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| title | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /title |
| updated_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 |