Anomaly Detector
E828319
Anomaly Detector is an Azure Cognitive Services offering that uses machine learning to automatically detect unusual patterns and outliers in time-series or other data.
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Azure Cognitive Service
ⓘ
anomaly detection service ⓘ machine learning service ⓘ |
| deploymentModel | managed cloud service ⓘ |
| designedFor |
data engineers
ⓘ
data scientists ⓘ developers ⓘ |
| developedBy | Microsoft ⓘ |
| exposes |
REST API
ⓘ
SDKs NERFINISHED ⓘ |
| hasCapability |
detect anomalies in other structured data
ⓘ
detect anomalies in time-series data ⓘ detect outliers ⓘ detect unusual patterns ⓘ |
| hasFeature |
change point detection
ⓘ
confidence band estimation ⓘ entire series detection ⓘ expected value estimation ⓘ last point detection ⓘ seasonality detection ⓘ |
| hasUseCase |
application performance monitoring
ⓘ
fraud detection support ⓘ monitoring IoT telemetry ⓘ monitoring business metrics ⓘ operations monitoring ⓘ |
| inputType |
numeric metrics
ⓘ
time-series data ⓘ |
| integratesWith |
Azure Logic Apps
NERFINISHED
ⓘ
Azure Monitor NERFINISHED ⓘ Azure Stream Analytics NERFINISHED ⓘ Power BI NERFINISHED ⓘ |
| offers | cloud-based anomaly detection ⓘ |
| outputType |
anomaly labels
ⓘ
anomaly scores ⓘ confidence intervals ⓘ expected values ⓘ |
| partOf |
Azure Cognitive Services
NERFINISHED
ⓘ
Microsoft Azure NERFINISHED ⓘ |
| requires | Azure subscription ⓘ |
| securityModel |
Azure resource-level authentication
NERFINISHED
ⓘ
Azure role-based access control NERFINISHED ⓘ |
| supports |
batch data scenarios
ⓘ
multivariate time-series anomaly detection ⓘ streaming data scenarios ⓘ univariate time-series anomaly detection ⓘ |
| supportsLanguage | HTTP-based language-agnostic access ⓘ |
| uses | machine learning ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.