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