|
|
|
|
|
Eric S. Weber, Steven N. Harding and Lee Przybylski
We introduce a novel methodology for anomaly detection in time-series data. The method uses persistence diagrams and bottleneck distances to identify anomalies. Specifically, we generate multiple predictors by randomly bagging the data (reference bags), ...
ver más
|
|
|
|
|