Tempo Spatial Data Extraction From Network Connected Devices
Abstract
A computer implemented data processing system for extracting user related tempo-spatial data from a cellular network comprising a plurality of cells, each cell comprising at least one cell sector, wherein each cell sector is in communication with a plurality of network-connected devices, and wherein each device is associated with a user profile. The system comprising: a computer component aggregation module, wherein the cellular network comprises: a network-connected raw database, a network-connected device profiles database, a unique identifier and a location module. The aggregation module receives from the cellular network combined data exhibiting identified network-connected devices with their corresponding profiles, and aggregates in response, profile each identified network-connected device with the corresponding location code thereby creating an anonymous aggregated user related data. The system may create, using geo-statistical methods a geographic information system (GIS) layer presenting the anonymous aggregated profiles classes associated with geographical locations.
Claims
exact text as granted — not AI-modified1 . A computer implemented data processing system of extracting user related tempo-spatial data from a network comprising a plurality of cells, each cell comprising at least one cell sector, wherein each cell sector is in communication with a plurality of network-connected devices, and wherein each device is associated with a user profile, the system comprising:
a communication network; and an aggregation module, wherein the communication network comprises: a network-connected raw database, a network-connected device profiles database, a unique identifier and a location module; and wherein the aggregation module derives from the communication network combined data exhibiting identified network-connected devices derived from the unique identifier with their corresponding profiles from the network-connected device profiles database, and aggregates in response, a particular profile for each identified network-connected device with the corresponding location code derived from the location module, thereby creating an anonymous aggregated user related data exhibiting profile and corresponding location.
2 . The data processing system according to claim 1 , further comprising a combining module, and wherein the combining module combines the aggregated user related data from the aggregation module with corresponding geographical coordinates received from the location module.
3 . The data processing system according to claim 2 , further comprising an interpolating module and wherein the interpolating module spatially interpolates the combined aggregated user related data.
4 . The data processing system according to claim 3 , further comprising a calibrating module, and wherein the calibrating module calibrates the interpolated data with exogamic statistical data.
5 . The data processing system according to claim 4 , wherein the data processing system creates tempo-spatial related network-connected devices masses pattern representations using spatial and temporal geo-statistics techniques.
6 . A method of extracting user-related tempo-spatial data from a communication network comprising a plurality of cells, each cell comprising at least one cell sector, wherein each cell sector is in communication with a plurality of network-connected devices, and wherein each device is associated with a user profile, the method comprising:
identifying network-connected devices which are both active and idle in each cell sector; combining the identified active network-connected devices with corresponding user profile characteristics; and aggregating the combined data according to network-connected devices geographic location, thereby creating anonymous aggregated profiles classes associated with geographical locations.
7 . The method according to claim 6 , further comprising periodically repeating the aggregating of the combined data thereby creating tempo-spatial data stamps, each exhibiting anonymous aggregated profiles classes associated with geographical locations;
8 . The method according to claim 7 , further comprising estimating global phenomena in accordance with the tempo-spatial data stamps, in view of the network-connected devices ratios.
9 . The method according to claim 6 , further comprising creating, using geo-statistical methods a geographic information system (GIS) layer presenting the anonymous aggregated profiles classes associated with geographical locations.
10 . A computer program product, comprising a computer usable medium having a computer readable program code embodied therein, the computer readable program code adapted to be executed to implement a method of extracting users related tempo-spatial data from a cellular network comprising a plurality of cells, each cell comprising at least one cell sector, wherein each cell sector is in communication with a plurality of network-connected devices, and wherein each device is associated with a user profile, the method comprising:
identifying all network-connected devices which are both active and idle in each cell sector; combining the identified active network-connected devices with corresponding user profile characteristics; and aggregating the combined data according to network-connected devices geographic location, thereby creating anonymous aggregated profiles classes associated with geographical locations.
11 . The computer program product according to claim 10 , wherein the method further comprising periodically repeating the aggregating of the combined data thereby creating tempo-spatial data stamps, each exhibiting anonymous aggregated profiles classes associated with geographical locations.
12 . The computer program product according to claim 11 , wherein the method further comprising estimating global phenomena in accordance with the tempo-spatial data stamps, in view of the network-connected devices ratios.
13 . The computer program product according to claim 12 , wherein the method further comprising creating, using geo-statistical methods a geographic information system (GIS) layer presenting the anonymous aggregated profiles classes associated with geographical locations.Join the waitlist — get patent alerts
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