{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "MARK SCHWABACHER", "hasEmail": "mailto:mark.a.schwabacher@nasa.gov"}, "description": "Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. 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:\r\n\r\n[http://stephenbay.net/orca/](http://stephenbay.net/orca/)\r\n\r\nA conference paper about Orca can be found here:\r\n\r\n[https://dashlink.arc.nasa.gov/paper/mining-distance-based-outliers-in-near-linear-time/](https://dashlink.arc.nasa.gov/paper/mining-distance-based-outliers-in-near-linear-time/)", "identifier": "DASHLINK_121", "issued": "2010-09-10", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/121/", "modified": "2025-07-17", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Orca"}