State transition network analysis of multiple one-dimensional time series
AssigneeHRL Laboratories, LLC
InventorsAlex N. Waagen, Tsai-Ching Lu, Jiejun Xu
Life of this patent
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AssigneeHRL Laboratories, LLC
InventorsAlex N. Waagen, Tsai-Ching Lu, Jiejun Xu
Estimating the term…
Described is a system for predicting an occurrence of large-scale events using social media data. A collection of time series is acquired from social media data related to an event of interest. The collection of time series is partitioned into time intervals and semantic features are extracted from the time intervals as a set of semantic intervals. The semantic features are encoded into a multilayer network. Subgraphs of the multilayer network are transformed into a state transition network. A prediction of a future event of interest is generated by analyzing the encoded network using the state transition network. Using the analyzed encoded network, a device is controlled based on the prediction of the future event of interest.
A system for predicting the occurrence of future events, the system comprising:
A computer implemented method for predicting the occurrence of future events, the method comprising an act of:
A computer program product for predicting the occurrence of future events, the computer program product comprising:
Dependencies are inferred from the claim text.