A system includes a processor and a memory device communicatively coupled to the processor. The system also includes a database communicatively coupled to the processor. The database is configured to store a first plurality of prediction sets. Each prediction set is associated with a respective individual within a first population. Each prediction set comprises a plurality of prediction results, and each prediction result corresponds to a selected one of a plurality of features. The processor is configured to receive a request for a distribution value associated with a selected feature and one or more parameters. The distribution value indicate how often the selected feature appears in a second population of individuals, the second population being defined by the one or more parameters.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A distributed communication network comprising: a router configured to communicatively couple a local area network to a wide area network; a server comprising: a processor; a memory device communicatively coupled to the processor; a database communicatively coupled to the processor, configured to store a first plurality of prediction sets, each prediction set being associated with a respective individual within a first population, each prediction set comprising a plurality of prediction results, each prediction result corresponding to a selected one of a plurality of features; and wherein the processor is configured to receive a request for a distribution value associated with a selected feature and one or more parameters, the distribution value indicating how often the selected feature appears in a second population of individuals, the second population being defined by the one or more parameters. 2. The distributed communication network of claim 1, wherein the processor is further configured to filter the first plurality of prediction sets based on the one or more parameters, generating a second plurality of prediction sets. 3. The distributed communication network of claim 2, wherein the processor is further configured to define a plurality of prediction result groups, each prediction result group comprising a plurality of corresponding prediction results selected from the second plurality of prediction sets, wherein each plurality of corresponding prediction results includes one prediction result selected from each of the second plurality of prediction sets. 4. The distributed communication network of claim 3, wherein the processor is further configured to generate a plurality of distribution values associated with the selected feature by determining, for each respective prediction result group, a respective distribution value for the selected feature based on the respective plurality of corresponding prediction results in the respective prediction result group. 5. The distributed communication network of claim 4, wherein the processor is further configured to determine an average distribution value based on the plurality of distribution values. 6. The distributed communication network of claim 5, wherein the processor is further configured to provide the average distribution value to a display device, wherein the display device is configured to display the distribution value using an interactive graphical user interface (GUI). 7. The distributed communication network of claim 6 further comprising: a first mobile device communicatively coupled to the wide area networks, the first mobile device comprising a localization module, the localization module comprising: a first global positioning system (GPS) module; a first triangulation module; wherein the first localization module is configured to determine a first location of the first mobile device and communicate the first location to the server; a second mobile device communicatively coupled to the wide area network, the second mobile device comprising a localization module, the localization module comprising: a second global positioning system (GPS) module; a second triangulation module; wherein the second localization module is configured to determine a second location of the first mobile device and communicate the second location to the server. 8. A distributed communication network comprising: a router configured to communicatively couple a local area network to a wide area network; a plurality of display devices communicatively coupled to the local area network; a server comprising: a processor; a memory device communicatively coupled to the processor; wherein the processor is configured to: identify a plurality of individuals associated with a particular display device of the plurality of display devices; and obtain a plurality of prediction sets corresponding to the plurality of individuals associated with the particular display device. 9. The distributed communication network of claim 8, wherein the processor is further configured to determine a distribution value representing a percentage of the plurality of individuals who have a selected feature based on the plurality of prediction sets. 10. The distributed communication network of claim 9, wherein the processor is further configured to select an advertisement image based on the distribution value. 11. The distributed communication network of claim 10, wherein the processor is further configured to transmit the advertisement to the particular display device over the wide area network, and wherein the particular display device is configured to display the advertisement image. 12. The distributed communication network of claim 11, wherein each of the plurality of display devices comprise a corresponding graphical user interface (GUI), wherein the corresponding GUI to the particular display is configured to display the selected advertisement image. 13. A method comprising: storing a first plurality of prediction sets, each prediction set being associated with a respective individual within a first population, each prediction set comprising a plurality of prediction results, each prediction result corresponding to a selected one of a plurality of features; and receiving a request for a distribution value associated with a selected feature and one or more parameters, the distribution value indicating how often the selected feature appears in a second population of individuals, the second population being defined by the one or more parameters. 14. The method of claim 13, further comprising: filtering the first plurality of prediction sets based on the one or more parameters, generating a second plurality of prediction sets. 15. The method of claim 14, further comprising: defining a plurality of prediction result groups, each prediction result group comprising a plurality of corresponding prediction results selected from the second plurality of prediction sets. 16. The method of claim 15, wherein each plurality of corresponding prediction results includes one prediction result selected from each of the second plurality of prediction sets. 17. The method of claim 16 further comprising: generating a plurality of distribution values associated with the selected feature by determining, for each respective prediction result group, a respective distribution value for the selected feature based on the respective plurality of corresponding prediction results in the respective prediction result group. 18. The method of claim 17, further comprising determining an average distribution value based on the plurality of distribution values. 19. The method of claim 18, further comprising providing the average distribution value to a display device. 20. The method of claim 19, wherein the display device is configured to display the distribution value using an interactive graphical user interface (GUI).