Patent ID: 9609074
Date: 2017-03-28
CPC Classifications: G06F,G06Q,H04L

Claim:
1. A method of predictive analytics, comprising: identifying, by at least one processor, a base dataset comprising a plurality of sampled data points describing a set of events, wherein the plurality of sampled data points in the base dataset comprise a chronological order; randomly resampling, by the at least one processor, the plurality of sampled data points to obtain a plurality of resampled data points, wherein randomly resampling the plurality of sampled data points comprises randomly resampling a first sampled data point and, for each subsequent resampled data point from the plurality of resampled data points, randomly resampling a data point from a subset of the plurality of sampled data points that is chronologically at the same time as, or after, a most recent resampled data point preceding the resampled data point; generating, by the at least one processor, a plurality of resampled datasets comprising the plurality of randomly resampled data points while maintaining the chronological order of the plurality of sampled data points; and predicting, by the at least one processor, a set of data points corresponding to future events by applying a time series algorithm to the plurality of resampled datasets.