OpenNMS ALEC (Architecture for Learning Enabled Correlation) is our framework that uses artificial intelligence and machine learning to group related alarms so you can better manage the more complex situations they might represent. 

ALEC uses temporal clustering techniques, machine learning algorithms, and deep-learning technology with topology data to group related alarms into a high-level situation. It detects network pattern behaviors and generates early warning signals for proactive remediation. It applies statistical and machine learning techniques to multi-dimensional input signals.