Concept information
Preferred term
anomaly detection
Definition
- The process of finding the data objects that stand out amongst other objects in a given dataset and do not conform to the normal behavior in a dataset by combining multiple data science tasks like classification, regression, and clustering. (Adapted from Kotu & Deshpande, Anomaly Detection, in Data Science, 2019)
Broader concept
Entry terms
- outlier detection
In other languages
-
French
-
détection des anomalies
URI
http://data.loterre.fr/ark:/67375/8LP-ZCWBWTP5-G
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}