IP Library › Granted Patent US 12,204,552
Granted Patent B2
US 12,204,552 · App. 18/237,557 · Granted Jan 21, 2025

Visual analysis of data using sequenced dataset reduction

Inventors: Mohammady Mahdy (Abu Dhabi, AE); Joseph Carter (Arlington, VA)
Assignee: Palantir Technologies Inc.
G06F16/248G06F16/2425G06F16/252G06F16/26G06F16/9535G06F3/04847G06F16/2423G06F16/283G06F40/221
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Quick Facts
Patent No.
US 12,204,552
App. No.
18/237,557
Filed
Aug 24, 2023
Granted
Jan 21, 2025
Kind
B2
Art Unit
2168
USPC
707/722
Abstract

Systems and methods for implementing sequenced filter templates to intelligently reduce a dataset to find useful patterns and source data are disclosed. An expert investigative user may configure a filter template comprising a series of filters organized in a sequence desired by the expert user. The filter template can be customized by an end user to reduce a dataset and perform guide investigation of the reduced dataset.

Claims (46)

1. A method for generating datasets, the method comprising:

receiving a selection of a sequenced filter template from a plurality of sequenced filter templates, the sequenced filter template comprising a plurality of filters and an order in which to apply the plurality of filters;

causing display of a presentation of the sequenced filter template, the presentation of the sequenced filter template comprising a representation of the plurality of filters;

receiving a query to apply the sequenced filter template to a dataset, the query including a refinement to the sequenced filter template;

generating a refined sequenced filter template based at least in part on the refinement and the sequenced filter template; and

applying the plurality of filters in the order specified in the refined sequenced filter template to the dataset to generate a reduced dataset, the reduced dataset being smaller in size than the dataset;

wherein the method is performed using one or more processors.

2. The method of claim 1 , wherein the refinement includes a selection of an optional filter.

3. The method of claim 1 , wherein the refinement includes a change or a selection corresponding to a parameter to at least one filter of the plurality of filters.

4. The method of claim 1 , wherein at least one of the plurality of filters is configured to reduce the dataset by removing data that matches a parameter for reduction.

5. The method of claim 1 , wherein the plurality of filters comprises a first filter and a second filter.

6. The method of claim 5 , wherein the applying the plurality of filters comprises:

generating a first reduced dataset by applying the first filter to the dataset; and

generating a second reduced dataset by applying the second filter to the first reduced dataset.

7. The method of claim 1 , further comprising:

generating a visualization of the reduced dataset as a graph.

8. The method of claim 1 , wherein the receiving a query to apply the sequenced filter template comprises receiving the query including the refinement via a programming interface.

9. A system for generating datasets, the system comprising:

one or more memories comprising instructions stored thereon; and

one or more processors configured to execute the instructions and perform operations comprising:

receiving a selection of a sequenced filter template from a plurality of sequenced filter templates, the sequenced filter template comprising a plurality of filters and an order in which to apply the plurality of filters;

causing display of a presentation of the sequenced filter template, the presentation of the sequenced filter template comprising a representation of the plurality of filters;

receiving a query to apply the sequenced filter template to a dataset, the query including a refinement to the sequenced filter template;

generating a refined sequenced filter template based at least in part on the refinement and the sequenced filter template; and

applying the plurality of filters in the order specified in the refined sequenced filter template to the dataset to generate a reduced dataset, the reduced dataset being smaller in size than the dataset.

10. The system of claim 9 , wherein the refinement includes a selection of an optional filter.

11. The system of claim 9 , wherein the refinement includes a change or a selection corresponding to a parameter to at least one filter of the plurality of filters.

12. The system of claim 9 , wherein at least one of the plurality of filters is configured to reduce the dataset by removing data that matches a parameter for reduction.

13. The system of claim 9 , wherein the plurality of filters comprises a first filter and a second filter.

14. The system of claim 13 , wherein the applying the plurality of filters comprises:

generating a first reduced dataset by applying the first filter to the dataset; and

generating a second reduced dataset by applying the second filter to the first reduced dataset.

15. The system of claim 9 , wherein the operations further comprise:

generating a visualization of the reduced dataset as a graph.

16. The system of claim 9 , wherein the receiving a query to apply the sequenced filter template comprises receiving the query including the refinement via a programming interface.

17. A method for generating datasets, the method comprising:

receiving a selection of a sequenced filter template from a plurality of sequenced filter templates, the sequenced filter template comprising a plurality of filters and an order in which to apply the plurality of filters;

causing display of a presentation of the sequenced filter template, the presentation of the sequenced filter template comprising a representation of the plurality of filters;

receiving a query to apply the sequenced filter template to a dataset, the query including a refinement to the sequenced filter template;

generating a refined sequenced filter template based at least in part on the refinement and the sequenced filter template;

applying the plurality of filters in the order specified in the refined sequenced filter template to the dataset to generate a reduced dataset, the reduced dataset being smaller in size than the dataset; and

generating a visualization of the reduced dataset as a graph;

wherein the method is performed using one or more processors.

18. The method of claim 17 , wherein the refinement includes a selection of an optional filter.

19. The method of claim 17 , wherein the refinement includes a change or a selection corresponding to a parameter to at least one filter of the plurality of filters.

20. The method of claim 17 , wherein at least one of the plurality of filters is configured to reduce the dataset by removing data that matches a parameter for reduction.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 24, 2023
From: MAHDY, MOHAMMADY; CARTER, JOSEPH
To: PALANTIR TECHNOLOGIES INC.
Reel/Frame 064693/0297 →
Continuity (5)
Continuation 17648890 · Jan 25, 2022
Continuation 16710776 · Dec 11, 2019
Continuation 15375894 · Dec 12, 2016
Provisional Application 62353233 · Jun 22, 2016
Related Publication 20230394053A1 · Dec 7, 2023
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