1. A computer-implemented method for detecting aberrant behavior in time-series data, comprising: obtaining first time-series observation data; determining time-series prediction data representative of a predicted trend of the first observation data; determining a standard deviation value representative of a deviation between the first observation data and the prediction data; determining a threshold based, at least in part, on the standard deviation value; and detecting aberrant behavior in second time-series observation data based, at least in part, on the threshold.