US 11,868,229 B2
Systems, methods, and devices for device identification and activity estimation in a computing platform
Michael R. Hahn, Saipan, MA (US)
Assigned to REVERSEADS PTE. LTD, Singapore (SG)
Filed by Michael R. Hahn, Saipan, MA (US)
Filed on Jun. 2, 2021, as Appl. No. 17/337,168.
Claims priority of provisional application 63/068,318, filed on Aug. 20, 2020.
Prior Publication US 2022/0058107 A1, Feb. 24, 2022
Int. Cl. G06F 11/34 (2006.01); G06F 11/32 (2006.01); G06F 9/54 (2006.01); G06F 18/214 (2023.01); G06N 7/01 (2023.01)
CPC G06F 11/3452 (2013.01) [G06F 9/542 (2013.01); G06F 11/324 (2013.01); G06F 11/3409 (2013.01); G06F 18/214 (2023.01); G06N 7/01 (2023.01); G06F 2201/86 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
retrieving, using one or more processors, data from at least one data source, the data comprising a plurality of data events associated with a plurality of devices;
generating, using the one or more processors, a plurality of probability metrics for each of the plurality of devices based on device information and data event parameters included in the retrieved data, wherein generating the plurality of probability metrics includes generating and assigning a first high probability keyword to first unstructured data associated with a first device in the plurality of devices and a second different probability keyword to second unstructured data associated with a second device in the plurality of devices; and
generating, using the one or more processors, an activity estimation parameter for each of the plurality of devices based on the plurality of probability metrics, the activity estimation parameter comprising an estimated probability of a subsequent data event being taken by a device.