Path Modeling

Modeling is the process of condensing the raw data into a terse concise model.  SensorMINER utilizes several algorithms to perform this including rule induction, path modeling, and box modeling. Each method has its own advantages and disadvantages producing specific output. Regardless of the modeling method used, the common goal is to build the necessary files required by the anomaly detection engine.

sensorMiner Path Modeling

Click here for more information on Path Modeling: Trajectory Boundary Modeling of Time Series for Anomaly Detection