Litcius/Paper detail

A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications

Usman Ahmad Usmani, Ari Happonen, Junzo Watada

2022Lecture notes in networks and systems57 citationsDOIOpen Access PDF

Topics & Concepts

Anomaly detectionUnsupervised learningComputer scienceArtificial intelligenceMachine learningOutlierIntrusion detection systemAnomaly (physics)Domain (mathematical analysis)Deep learningData miningPattern recognition (psychology)PhysicsMathematicsMathematical analysisCondensed matter physicsAnomaly Detection Techniques and ApplicationsData-Driven Disease SurveillanceNetwork Security and Intrusion Detection
A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications | Litcius