Implements univariate and multivariate anomaly detection in Java applications using Azure AI services.
This skill provides specialized guidance for integrating the Azure AI Anomaly Detector SDK into Java projects. It enables developers to implement sophisticated time-series analysis, including univariate detection for single-signal monitoring, multivariate detection for correlated signals, and change point detection for trend analysis. By automating model training, inference, and real-time streaming patterns, this skill helps developers build robust observability and monitoring solutions with minimal boilerplate.
主な機能
01Automated change point detection to identify shifts in data trends
02Secure authentication using Azure Key Credential or Default Azure Credential
03Comprehensive model management and asynchronous result polling
04Multivariate model training and inference for up to 300 correlated signals
05Univariate batch and real-time streaming anomaly detection
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ユースケース
01Automated financial fraud detection through time-series trend analysis
02System performance observability and automated alerting for IT operations
03Real-time IoT sensor monitoring for predictive maintenance and failure prevention
