Anomaly Detection in High-Dimensional Data leaf node


URI

https://openalex.org/T11512

Label

Anomaly Detection in High-Dimensional Data

Description

This cluster of papers focuses on the detection of anomalies in high-dimensional data, particularly in the context of video analysis, surveillance, and time series data. It covers a wide range of techniques including unsupervised learning, outlier detection, deep learning, and novelty detection for identifying abnormal patterns and events.

Implementation

@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://openalex.org/T11512> a skos:Concept ;
    rdfs:label "Anomaly Detection in High-Dimensional Data"@en ;
    rdfs:isDefinedBy openalex: ;
    owl:sameAs <https://en.wikipedia.org/wiki/Anomaly_detection>,
        <https://openalex.org/T11512> ;
    skos:broader oasubfields:1702 ;
    skos:definition "This cluster of papers focuses on the detection of anomalies in high-dimensional data, particularly in the context of video analysis, surveillance, and time series data. It covers a wide range of techniques including unsupervised learning, outlier detection, deep learning, and novelty detection for identifying abnormal patterns and events."@en ;
    skos:inScheme openalex: ;
    skos:prefLabel "Anomaly Detection in High-Dimensional Data"@en ;
    openalex:cited_by_count 663007 ;
    openalex:works_count 52523 .