International Business Machines Corporation
Forecasting data based on hidden cycle evidence
Last updated:
Abstract:
An approach is provided in which an information handing system determines a hidden cycle of hidden evidence based on one of multiple signals in a frequency-based representation of source evidence. The information handling system extrapolates the hidden evidence to create a forecast data set and, in turn, utilizes the forecast data set to process a request.
Status:
Grant
Type:
Utility
Filling date:
3 Jan 2018
Issue date:
19 Oct 2021