Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:physicist
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Microsoft_cloud_services
|
| gptkbp:analyzes |
large datasets
|
| gptkbp:api |
gptkb:software
|
| gptkbp:controls |
real-time data streams
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:has |
user-friendly interface
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Anomaly Detector
|
| gptkbp:integrates_with |
gptkb:Azure_Machine_Learning
|
| gptkbp:is_accessible_by |
gptkb:Azure_Portal
RESTAPI |
| gptkbp:is_available_in |
multiple regions
Saa S model Iaa S model Paa S model |
| gptkbp:is_compatible_with |
gptkb:software_framework
|
| gptkbp:is_documented_in |
Microsoft Azure documentation
|
| gptkbp:is_integrated_with |
gptkb:philosopher
gptkb:Power_BI gptkb:Cloud_Computing_Service |
| gptkbp:is_optimized_for |
cloud environments
|
| gptkbp:is_part_of |
gptkb:Azure_Analytics_Services
gptkb:Azure_Cognitive_Services Azure AI services Azure Data Services |
| gptkbp:is_scalable |
enterprise-level applications
|
| gptkbp:is_supported_by |
community forums
|
| gptkbp:is_used_by |
gptkb:software
business analysts data scientists |
| gptkbp:is_used_for |
network security
quality control supply chain optimization customer behavior analysis fraud detection predictive maintenance monitoring applications social media analysis energy consumption analysis telecommunications monitoring |
| gptkbp:is_used_in |
gptkb:financial_services_company
healthcare manufacturing retail |
| gptkbp:language |
gptkb:Library
gptkb:C# |
| gptkbp:offers |
training resources
customizable models real-time anomaly detection |
| gptkbp:provides |
visualization tools
detailed reports anomaly detection capabilities |
| gptkbp:recognizes |
outliers
seasonal patterns trend changes |
| gptkbp:requires |
Azure subscription
|
| gptkbp:supports |
time series data
|
| gptkbp:uses |
machine learning algorithms
|