Methods and apparatus to locate unknown media devices

1. An apparatus for determining a location of media devices, the apparatus comprising:

a media device detector to detect an unknown media device identified in monitoring data collected by an audience measurement device at a first location of a first media presentation device determined to have an “on” status;

a media transmission detector to detect a media transmission associated with a device address;

an association storer to:

store an association of the device address with the unknown media device and the first location of the first media presentation device in a probability data structure, the association indicative of when the unknown media device transmits network communications during a period of time when the first media presentation device is determined to have the “on” status, the probability data structure including counts of a number of associations for the device address with the first location of the first media presentation device and respective locations of a plurality of media presentation devices;

increase the counts when subsequent associations for the unknown media device with the first media presentation device or the plurality of media presentation devices that are determined to have the “on” status and the first location of the first media presentation device or the respective locations of the plurality of media presentation devices are stored; and

a probability determiner to determine a probability that the unknown media device is located at the first location of the first media presentation device based on a total count of associations of the device address with the unknown media device and the location of the first media presentation device.

2. The apparatus of claim 1 , further including:

a contact prompter to prompt a contacting of an exposure site of the unknown media device when a condition that is based on the determined probability is satisfied.

3. The apparatus of claim 2 , wherein the condition is a probability threshold.

4. The apparatus of claim 2 , wherein the condition is an elapse of a predetermined period of time after a probability threshold has been reached.

5. The apparatus of claim 1 , wherein the probability data structure correlates respective media access control (MAC) addresses with a plurality of sites.

6. The apparatus of claim 1 , wherein the media transmission detector monitors media transmissions in an on-going manner.

7. The apparatus of claim 1 , wherein a network communications monitor identifies a media device type of the unknown media device.

8. A method for determining a location of unknown media devices, the method comprising:

detecting, by executing an instruction via a processor, an unknown media device identified in monitoring data collected by an audience measurement device at a first location of a first media presentation device determined to have an “on” status;

detecting, by executing an instruction via the processor, a media transmission associated with a device address;

storing, by executing an instruction via the processor, an association of the device address with the unknown media device and the first location of the first media presentation device in a probability data structure, the association indicative of when the unknown media device transmits network communications during a period of time when the first media presentation device is determined to have the “on” status, the probability data structure including counts of a number of associations for the device address with the first location of the first media presentation device and respective locations of a plurality of media presentation devices;

increasing, by executing an instruction with the processor, the counts when subsequent associations for the unknown media device with the first media presentation device or the plurality of media presentation devices that are determined to have the “on” status and the first location of the first media presentation device or the respective locations of the plurality of media presentation devices are stored; and

determining, by executing an instruction via the processor, a probability that the unknown media device is located at the first location of the first media presentation device based on a total count of associations of the device address with the unknown media device and the location of the first media presentation device.

9. The method of claim 8 , further including:

prompting an exposure site of the unknown media device to be contacted when a condition that is based on the determined probability is satisfied.

10. The method of claim 9 , wherein the condition is a probability threshold.

11. The method of claim 9 , wherein the condition is an elapse of a predetermined period of time after a probability threshold has been reached.

12. The method of claim 8 , wherein the determining comprises generating the probability data structure that correlates respective media access control (MAC) addresses with a plurality of sites.

13. The method of claim 8 , wherein the determining includes continuous monitoring.

14. The method of claim 8 , wherein a network communications monitor identifies a media device type of the unknown media device.

15. A non-transitory machine-readable storage medium comprising computer readable instructions which, when executed, cause a machine to at least:

detect an unknown media device identified in monitoring data collected by an audience measurement device at a location of a first media presentation device determined to have an “on” status;

detect a media transmission associated with a device address;

store an association of the device address with the unknown media device and the location of the first media presentation device in a probability data structure, the association indicative of when the unknown media device transmits network communications during a period of time when the first media presentation device is determined to have the “on” status, the probability data structure including counts of a number of associations for the device address with the location of the first media presentation device and respective locations of a plurality of media presentation devices;

increase the counts when subsequent associations for the unknown media device with the first media presentation device or the plurality of media presentation devices that are determined to have the “on” status and the location of the first media presentation device or the respective locations of the plurality of media presentation devices are stored; and

determine a probability that the unknown media device is located at the location of the first media presentation device based on a total count of associations of the device address with the unknown media device and the location of the first media presentation device.

16. The non-transitory machine-readable storage medium of claim 15 , wherein the computer readable instructions, when executed further cause the machine to:

prompt an exposure site of the unknown media device to be contacted when a condition that is based on the determined probability is satisfied.

17. The non-transitory machine: readable storage medium of claim 16 , wherein the condition is a probability threshold.

18. The non-transitory machine: readable storage medium of claim 16 , wherein the condition is an elapse of a predetermined period of time after a probability threshold has been reached.

19. The non-transitory machine-readable storage medium of claim 15 , wherein the computer readable instructions, when executed, cause the machine to store comprises the association by at least generating the probability data structure that correlates respective media access control (MAC) addresses with a plurality of sites.

20. The non-transitory machine-readable storage medium of claim 15 , wherein the determining includes continuous monitoring.