Entity data attribution using disparate data sets

• US 10,223,429 B2
• Filed: 07/13/2016
• Issued: 03/05/2019
• Est. Priority Date: 12/01/2015
• Status: Active Grant

• Current Assignee: Palantir Technologies Incorporated
• Original Assignee: Palantir Technologies Incorporated
• Inventors: Michel, Jean-Baptiste, Hampton, Alan, Shukla, Ananya, Sivakumar, I. K. Ashok
• Primary Examiner(s): Stevens, Robert
• Application Number:
  US15/209,544
• Publication Number:
  US 20170154082A1
• Time in Patent Office: 965 Days
• Field of Search: 707769
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2462 Approximate or statistical queries
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.

Claims

1. A system for attributing data to entities using disparate data sets, the system comprising:

a memory device configured to store a set of instructions; and

one or more processing devices configured to execute the set of instructions to;

receive, at a database, a first data set that comprises a first set of records associated with a first entity, the first set of records comprising a first set of location data and a first set of temporal data;

receive, at the database, a second data set that comprises a second set of records associated with a second entity, the second set of records comprising a second set of location data and a second set of temporal data;

determine a first trajectory of the first entity based on the first set of location data and the first set of temporal data from the first set of records, the first trajectory defining a first order of the first set of records;

determine a second trajectory of the second entity based on the second set of location data and the second set of temporal data of the second set of records, the second trajectory defining a second order of the second set of records;

perform a comparison of the first order of the first trajectory that corresponds with the first entity, and the second order of the second trajectory that corresponds with the second entity; and

attribute the second set of records of the second entity to the first entity within the database based on the comparison.

2. The system of claim 1 wherein the first entity is the same as the second entity.

3. The system of claim 1 wherein the first data set or the second data includes data associated with at least one of transaction data, social network data, consumer data, provisioning data, and product data.

4. The system of claim 1 wherein the first trajectory and the second trajectory are based on location information.

5. The system of claim 4 wherein the location information includes an area.

6. The system of claim 1 wherein the first trajectory and the second trajectory are based on at least one of time and date information.

7. The system of claim 1 wherein the first trajectory and the second trajectory are based on at least a threshold number of related records.

8. The system of claim 1 wherein criteria for determining agreement between the first trajectory and the second trajectory is partially based on a type of data in the first data set and a type of data in the second data set.

9. The system of claim 1 wherein criteria for determining agreement between the first trajectory and the second trajectory is partially based on a unicity of the first data set and a unicity of the second data set.

10. The system of claim 1 wherein the one or more processing devices are further configured to execute the set of instructions to:

analyze the resolution using a probabilistic model.

11. A method for attributing data to entities using disparate data sets, the method comprising:

receiving, at a database, a first data set that comprises a first set of records associated with a first entity, the first set of records comprising a first set of location data and a first set of temporal data;

receiving, at the database, a second data set that comprises a second set of records associated with a second entity, the second set of records comprising a second set of location data and a second set of temporal data;

determining a first trajectory of the first entity based on the first set of location data and the first set of temporal data from the first set of records, the first trajectory defining a first order of the first set of records;

determining a second trajectory of the second entity based on the second set of location data and the second set of temporal data of the second set of records, the second trajectory defining a second order of the second set of records;

performing a comparison of the first order of the first trajectory that corresponds with the first entity, and the second order of the second trajectory that corresponds with the second entity; and

attributing the second set of records of the second entity to the first entity within the database based on the comparison.

12. The method of claim 11 wherein the first entity is the same as the second entity.

13. The method of claim 11 wherein the first trajectory and the second trajectory are based on location information.

14. The method of claim 13 wherein the location information includes an area.

15. The method of claim 11 wherein the first trajectory and the second trajectory are based on at least a threshold number of related records.

16. A non-transitory computer-readable medium storing a set of instructions that are executable by one or more processing device to the one or more processing devices to perform a method to attribute data to entities using disparate data sets, the method comprising:

receiving, at a database, a first data set that comprises a first set of records associated with a first entity, the first set of records comprising a first set of location data and a first set of temporal data;

receiving, at the database, a second data set that comprises a second set of records associated with a second entity, the second set of records comprising a second set of location data and a second set of temporal data;

determining a first trajectory of the first entity based on the first set of location data and the first set of temporal data from the first set of records, the first trajectory defining a first order of the first set of records;

determining a second trajectory of the second entity based on the second set of location data and the second set of temporal data of the second set of records, the second trajectory defining a second order of the second set of records;

performing a comparison of the first order of the first trajectory that corresponds with the first entity, and the second order of the second trajectory that corresponds with the second entity; and

attributing the second set of records of the second entity to the first entity within the database based on the comparison.

17. The non-transitory computer readable medium of claim 16 wherein the first entity is the same as the second entity.

18. The non-transitory computer readable medium of claim 16 wherein the first trajectory and the second trajectory are based on location information.

19. The non-transitory computer readable medium of claim 18 wherein the location information includes an area.

20. The non-transitory computer readable medium of claim 16 wherein the first trajectory and the second trajectory are based on at least a threshold number of related records.