OBJECT TIME SERIES

• US 20140267295A1
• Filed: 01/06/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Palantir Technologies Incorporated
• Original Assignee: Palantir Technologies Incorporated
• Inventors: Sharma, Tilak, Chuang, Steve, Chiu, Rico, Shi, Andrew, Canfield, Lindsay, Kumar, Adit
• Granted Patent: US 8,937,619 B2
• Time in Patent Office: Days
• US Class Current: 345/440
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/9027 Trees
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

Systems and methods are presented for representing non-numerical data objects in an object time series. An object time series of can be created by establishing one or more associations, each association including a mapping of at least one point in time with one or more objects that include properties and values. Visual representation of an object time series may include displaying non-numerical values associated with objects in the object time series in association with respective points in time.

Claims

1. A computer implemented method comprising:

under control of a computing environment, the computing environment comprising one or more physical computing systems configured to process large amounts of data,

receiving, by the computing environment, data related to a plurality of points time;

receiving, by the computing environment, data related to a one or more objects;

for each of the plurality of points in time, creating an object time series of a duration by establishing one or more associations, each association comprising a mapping of at least one point in time with the one or more objects, wherein the one or more objects comprise properties and values;

the one or more objects comprising at least one property which has at least one value that is non-numerical; and

visually representing at least a portion of the non-numerical values associated with the one or more objects associated with the object time series, wherein the visual representation comprises displaying the non-numerical values in association with the respective plurality of points in time,

wherein the method is performed using one or more processors.

2. The computer implemented method of claim 1, wherein the object time series is sampled based on a frequency, wherein the frequency is weekly, bi-weekly, monthly, quarterly, and/or annually;

and

creating a second object time series using the sampled object time series and objects associated with the sampled object time series.

3. The computer implemented method of claim 1, wherein the object time series is sliced based on a period of time that is of equal or shorter length of the duration of the object time series;

and

creating a second object time series using the sliced object time series and objects associated with the sliced object time series.

4. The computer implemented method of claim 1, wherein the one or more objects associated with the object time series is accessed by a function call comprising the name of the object time series and a direct request to access one or more non-numerical values associated with the one or more objects.

5. The computer implemented method of claim 1, wherein the one or more objects further comprise at least one other object;

and

the at least one other object further comprise at least one property which has at least one value that is non-numerical.

6. The computer implemented method of claim 5, wherein the at least one other object is visually represented in association with the respective plurality of points in time.

7. The computer implemented method of claim 1, wherein the object time series may be sampled based on an irregular time interval;

and

creating a second object time series using the sampled object time series and objects associated with the sampled object time series.

8. A computer system comprising:

a computing environment, the computing environment comprising one or more physical computing systems configured to process large amounts of data;

one or more computer processors;

a tangible storage device storing a module configured for execution by the one or more computer processors to;

receive, by the computing environment, data related to a plurality of points time;

receive, by the computing environment, data related to a one or more objects;

for each of a plurality of points in time, create an object time series of a duration by establishing one or more associations, each association comprising a mapping of at least one point in time with one or more objects, wherein the one or more objects comprise properties and values;

the one or more objects comprising at least one property which has at least one value that is non-numerical; and

visually represent at least a portion of the non-numerical values associated with the one or more objects associated with the object time series, wherein the visual representation comprises displaying the non-numerical values in association with the respective plurality of points in time.

9. The computer system of claim 8, wherein the object time series may be sampled based on a frequency, wherein the frequency is weekly, bi-weekly, monthly, quarterly, and/or annually;

and

creating a second object time series using the sampled object time series and objects associated with the sampled object time series.

10. The computer system of claim 8, wherein the object time series may be sliced based on a period of time that is of equal or shorter length of the duration of the object time series;

and

creating a second object time series using the sliced object time series and objects associated with the sliced object time series.

11. The computer system of claim 8, wherein the one or more objects associated with the object time series is accessed by a function call comprising the name of the object time series and a direct request to access one or more non-numerical values associated with the one or more objects.

12. The computer system of claim 8, wherein the one or more objects further comprise at least one other object;

and

the at least one other object further comprise at least one property which has at least one value that is non-numerical.

13. The computer system of claim 12, wherein the at least one other object is visually represented in association with the respective plurality of points in time.

14. The computer system of claim 8, wherein the object time series may be sampled based on an irregular time interval;

and

creating a second object time series using the sampled object time series and objects associated with the sampled object time series.

15. A non-transitory computer-readable storage medium comprising computer-executable instructions that direct a computing system to:

under control of a computing environment, the computing environment comprising one or more physical computing systems configured to process large amounts of data,

receive, by the computing environment, data related to a plurality of points time;

receive, by the computing environment, data related to a one or more objects;

for each of a plurality of points in time, create an object time series of a duration by establishing one or more associations, each association comprising a mapping of at least one point in time with one or more objects, wherein the one or more objects comprise properties and values;

the one or more objects comprising at least one property which has at least one value that is non-numerical; and

visually represent at least a portion of the non-numerical values associated with the one or more objects associated with the object time series, wherein the visual representation comprises displaying the non-numerical values in association with the respective plurality of points in time.

16. The non-transitory computer-readable storage medium of claim 15, wherein the object time series may be sampled based on a frequency, wherein the frequency is weekly, bi-weekly, monthly, quarterly, and/or annually;

and the computing system is further directed to;

create a second object time series using the sampled object time series and objects associated with the sampled object time series.

17. The non-transitory computer-readable storage medium of claim 15, wherein the object time series may be sampled based on a frequency, wherein the frequency is weekly, bi-weekly, monthly, quarterly, and/or annually;

and the computing system is further directed to;

creating a second object time series using the sampled object time series and objects associated with the sampled object time series.

18. The non-transitory computer-readable storage medium of claim 15, wherein the object time series may be sliced based on a period of time that is of equal or shorter length of the duration of the object time series;

and the computing system is further directed to;

creating a second object time series using the sliced object time series and objects associated with the sliced object time series.

19. The non-transitory computer-readable storage medium of claim 15, wherein the one or more objects associated with the object time series is accessed by a function call comprising the name of the object time series and a direct request to access one or more non-numerical values associated with the one or more objects.

20. The non-transitory computer-readable storage medium of claim 15, wherein the one or more objects further comprise at least one other object;

and

the at least one other object further comprise at least one property which has at least one value that is non-numerical.