STAND Pipeline

STAND: A Self-Tuning Anomaly Detection System

Upload a dataset, choose your detection methods, and let STAND tune itself.

Enter Input File and Parameters

1
Provide a dataset

Upload a CSV of your own, or start quickly with one of the built-in sample datasets.

Upload your own

or use a sample dataset
2
Select detection methods

STAND will run each selected method and automatically tune their thresholds.

3
Describe your dataset

Tell STAND which columns to use and the outlier rate it should tune toward.

Column that uniquely identifies each row.

Ground-truth column, if available.

Lower bound of expected outlier rate.

Upper bound of expected outlier rate.

Log Messages