Entity location traceability and prediction

摘要

Activity-related data associated with a subject entity is obtained. Weight values are assigned to portions of the obtained activity-related data, wherein the weight values range between a low entity location-predictive weight value to a high entity location-predictive weight value, and wherein the portions of obtained activity-related data form a plurality of data paths. The assigned weight values are added along each data path of obtained activity-related data to compute a plurality of data path weight values. A past, present and/or future location of the subject entity is determined based on a selection of one of the plurality of data path weight values. For example, the location associated with the data path with the highest data path weight value is selected as the location of the subject entity.

主权项

1. A method comprising:
obtaining data corresponding to one or more activities associated with a subject entity, wherein the one or more activities are associated with respective temporal parameters; determining at least one location of the subject entity for a selected instance or time period based on the Obtained data, wherein the at least one location of the subject entity comprises at least one of a past, present and future location of the subject entity, and wherein the determination comprises:
assigning weight values to respective portions of the obtained data based at least in part on the temporal parameters, wherein the weight values range between a low entity location-predictive weight value to a high entity location-predictive weight value, and wherein the portions of the data form a plurality of data paths;adding the assigned weight values along each data path to compute a plurality of data path weight values;selecting the at least one location of the subject entity based on a selection of one of the plurality of data path weight values;determining a probability that the subject entity is at the selected location, wherein determining the probability that the subject entity is at the selected location comprises calculating a ratio between the data path weight value corresponding to the selected location of the subject entity and a highest possible data path weight value for the data path corresponding to the selected location of the subject entity; andassigning the probability to the selected location of the subject entity; wherein one or more of the above steps are performed by at least one processing device.