| Patent application number | Description | Published |
|---|
| 20090307263 | System And Method Of Performing Location Analytics - A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enable device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place. | 12-10-2009 |
| 20100079336 | Comparing Spatial-Temporal Trails In Location Analytics - Systems and computer implemented methods are provided for comparing, associating and deriving associations between two or more spatial temporal data trails. One or more spatial-temporal data trails comprising one or more places are received at a processor. Each place is identified by a spatial temporal data point. And each spatial-temporal data trail is associated with an individual. The similarity between pairs of places is determined to establish one or more groups of places or one or more groups of individuals. Similarity and/groups can be determined based on demographics associated with the place or individual. | 04-01-2010 |
| 20100082301 | Event Identification In Sensor Analytics - A method of detecting an event anomaly includes receiving one or more data points, in which each data point represents a spatial or temporal event, associating a unique identifier with each of the one or more data points to obtain one or more individualized data points, distributing the one or more individualized data points across a grid, in which the grid includes one or more cells, determining an event likelihood ratio for one or more of the grid cells, identifying one or more event clusters, in which each event cluster includes one or more of the grid cells, and storing in a data repository an event cluster having a significance level above a threshold significance level. | 04-01-2010 |
| 20110040619 | BELIEF PROPAGATION FOR GENERALIZED MATCHING - Entities may be matched to enhance the efficiency of various commercial activities using various system and method embodiments of the disclosed subject matter. Belief propagation on a graph data structure defining a bipartite or unipartite matching opportunity is used to calculate a best matching. In embodiments, functions are implemented based upon the match, such as executing sales between matched buyers and sellers in an online auction system. In embodiments, messages with scalar values carry information about the relative value of possible matchings, initially provided as weights or values for the possible matchings. Weights may depend on, for example, bids or costs. Messages may be passed, for example over a network between processors respective to the nodes. Belief values reflecting a best matching can be continuously updated for each node responsively to the value information and received messages to rank the matches respective to each node, which progressively improve. This allows short or complete terminations conditions to determine the goodness of the matching. Differing numbers of matches respective to each member of the disjoint sets and distributions of the desirability of different numbers of matches can be integrated in the matchings in respective embodiments. | 02-17-2011 |
