Forecasting events by modeling time series data

Abstract

An event forecasting system can filer time series data by identifying outliers and/or data instances that align with an exception, and either remove or replace them. The event forecasting system can further select a set of models expected to be best predictive for the time series data by performing an initial ranking using a first part of the time series data, validated by a second part; and performing a second ranking of the best models using the first part and second parts of the time series data, validated by a third part. Finally, the event forecasting system can output results to a user interface where a user can view the known and predicted data values and make injects to manually adjust the predicted values as desired.

CPC Classifications