Predicting edges in temporal network graphs described by near-bipartite data sets

摘要

Embodiments of a system and method for predicting a future state of a set of data are generally described herein. In some embodiments, a set of data in a first domain is obtained. The set of data in the first domain may be represented as a network graph. The set of data in the first domain is mapped into a set of data in a second domain. A plurality of prediction models are applied to the set of data in the second domain to produce a plurality of predicted sets of data. The predicted sets of data are combined to generate a combined predicted set of data having a best match. The combined predicted sets of data having the best match are reverse mapped to the first domain.

主权项

1. A method for predicting a future state of a set of data, comprising:
obtaining a set of data in a first domain; mapping the set of data into a second domain; applying a plurality of prediction models to the set of data in the second domain to produce a plurality of predicted sets of data including applying a Fourier transform to characterize each of the plurality of prediction models; combining the predicted sets of data to generate a combined predicted set of data having a best match; and reverse mapping the combined predicted sets of data having the best match to the first domain.