Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.

Abstract: Systems and techniques are disclosed for statistically associating mobile devices and non-mobile devices with geographic areas. One of the methods includes for each selected mobile device of a plurality of mobile devices, receiving latitude-longitude pairs for the selected mobile device, the latitude-longitude pairs corresponding to a location of the selected mobile device during a time period. The plurality of latitude-longitude pairs are organized into clusters, with the clusters corresponding to geographic regions visited by the selected mobile device during the time period. A score is calculated for each cluster, the score representing a likelihood that a user of the selected mobile device resides in a household within the cluster. A location of the user's household is identified to be within one of the geographic areas corresponding to the cluster having the highest score. The mobile device is associated with the geographic area having the highest score.