Patent Document ID: 20160241578
Application ID: 15044843
Patent Flag: 0

Claim One:
1. A computer-implemented method for forecasting anomalous event volumes, the method comprising: receiving activity data associated with events that occur in a computer network; transforming the received activity data into processed activity data, the processed activity data including data that represents a series of distinct time periods, each distinct time period having a respective event count; determining, for each of the distinct time periods, whether the distinct time period is associated with an anomalous level of event activity; flagging the processed activity data with a designation of whether each of the series of distinct time periods is associated with the anomalous level of event activity; based on the flagged activity data, for a given future time period, generating prediction data that predicts a volume of events for the given future time period and a likelihood that the volume of events for the given future time period will be anomalous; and providing the prediction data.