METHOD AND SYSTEM FOR IDENTIFYING SIGNIFICANT LOCATIONS THROUGH DATA OBTAINABLE FROM A TELECOMMUNICATION NETWORK
1 Assignment
0 Petitions
Accused Products
Abstract
A method for identifying and locating at least one relevant location visited by at least one individual within a geographical area served by a wireless telecommunication network. The method includes: identifying and clustering events that occurred within a predefined distance from each other and having a similar probability, computing a weight value for each cluster of events identified, comparing the weight value with a threshold weight value, if the weight value is equal to, or greater than, the threshold weight value, identifying the relevant location as belonging to a selected typology of relevant location, and providing an indication of the position of the at least one relevant location based on recorded position data of the events of the cluster, or if the weight value is lower than the threshold weight value, identifying the relevant location as not belonging to the selected typology of relevant location.
-
Citations
38 Claims
-
1-19. -19. (canceled)
-
20. A method for identifying and locating at least one relevant location visited by at least one individual within a geographical area served by a wireless telecommunication network, the method comprising:
-
selecting a predetermined time period over which the identifying and locating of the at least one relevant location have to be performed; selecting a typology of relevant location to be identified and located; retrieving recorded time and position data recorded by the telecommunication network and regarding events in which a user equipment carried by the at least one individual interacted with the telecommunication network; computing a probability that each event for which recorded time and position data have been retrieved occurred in the relevant location of the selected type based on the recorded time data; identifying and clustering events that occurred within a predefined distance from each other and having a similar probability; computing a weight value for each identified cluster of events; comparing the weight value with a threshold weight value, if the weight value is equal to, or greater than, the threshold weight value, identifying the relevant location as belonging to the selected typology of relevant location, and providing an indication of the position of the at least one relevant location based on the recorded position data of the events of the cluster, or if the weight value is lower than the threshold weight value, identifying the relevant location as not belonging to the selected typology of relevant location. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
-
Specification