Alarm Rule

Metatron Anomaly makes it easy for users to easily create and manage rules that trigger alarms in their time-series data. Metatron Anomaly’s alarm rules have the following characteristics:

• Machine learning based on unsupervised learning for all real-time data without error history

• Easy and fast alarm rule creation in 3-step

• 통계 기반의 single 단변량 분석 알고리즘 7종 및 다변량 분석 알고리즘 1종의 기본 예측 모델 제공

• Automatic model learning and optimal model recommendation

• Supports model re-learning when applied model accuracy decreases

The structure of this unit is as follows.

• Creating an Alarm Rule
  • 알람 룰 생성
  • 복수 알람 룰 생성
• Viewing and modifying alarm rule details
  • Alarm Rule List
  • Alarm Rule Details
  • 알람룰 그룹 및 복수 알람룰 관리
• Model Manager
  • Model accuracy fluctuation
  • Model re-training and learning history
  • Comparison of models and application of new models