Patent ID: 11902309
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 0:
1. A computer-implemented method, comprising:
obtaining historical volume data representative of a plurality of past events;
generating, from the historical volume data, a set of time-series data;
analyzing the time-series data using a Gaussian mixture model to determine a normal distribution and an anomaly distribution;
determining, from the normal distribution and the anomaly distribution, values for a set of distribution parameters;
generating, using the values for the set of distribution parameters, a time-series forecasting model that comprises a machine learning model trained using probabilities for different anomalous events;
determining, using the time-series forecasting model, a quantity of future anomalies; and
providing notification of the quantity, wherein at least one proactive action is enabled to be taken for an occurrence of the future anomalies.