Data Observability, Decision Trees and Support Vector Machines

Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Journey to AI blog

DECEMBER 19, 2023

Unlike supervised anomaly detection techniques, which work from labeled normal data points, this technique attempts to isolate anomalies as the first step. Similar to a “ random forest ,” it creates “decision trees,” which map out the data points and randomly select an area to analyze.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

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