Refinement of a predicted event based on explainability data

Patent metadata

Field	Value
Publication number	US-11915150-B2
Application number	US-202318176583-A
Country	US
Kind code	B2
Filing date	Mar 1, 2023
Priority date	Feb 6, 2019
Publication date	Feb 27, 2024
Grant date	Feb 27, 2024

Abstract

Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.

First claim

What is claimed is:

1. A system, comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory,

wherein the computer executable components comprise:
an explanation component that generates explainability data corresponding to a predicted event; and
an automation engine component that evaluates accuracy of the predicted event based on the explainability data and supplemental data, and enriches at least one of the predicted event or the explainability data based on the supplemental data.

2. The system of claim 1 , wherein the supplemental data comprises at least one of an event type corresponding to the explainability data or correlated events corresponding to the explainability data.

3. The system of claim 1 , wherein the supplemental data comprises at least one of diagnostics data, or domain data.

4. The system of claim 1 , wherein the automation engine component enriches the predicted event based on the supplemental data.

5. The system of claim 1 , wherein the automation engine component enriches the explainability data based on the supplemental data.

6. The system of claim 1 , wherein the automation engine component validates the predicted event based on the supplemental data.

7. The system of claim 1 , wherein the automation engine component refines the predicted event based on the supplemental data.

8. A computer-implemented method, comprising:
generating, by a system operatively coupled to a processor, explainability data corresponding to a predicted event;
evaluating, by the system, accuracy of the predicted event based on the explainability data and supplemental data; and
enriching, by the system, at least one of the predicted event or the explainability data based on the supplemental data.

9. The computer-implemented method of claim 8 , wherein the evaluating comprises, evaluating, by the system, accuracy of the predicted event based on at least one of the explainability data or an event type corresponding to the explainability data.

10. The computer-implemented method of claim 8 , wherein the evaluating comprises, evaluating, by the system, accuracy of the predicted event based on at least one of diagnostics data or domain data.

11. The computer-implemented method of claim 8 , further comprising, validating by the system, the predicted event based on the supplemental data.

12. The computer-implemented method of claim 8 , further comprising, refining by the system, the predicted event based on the supplemental data.

13. A computer program product facilitating a predicted event refinement process based on explainability data, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
generate, by the processor, explainability data corresponding to a predicted event;
evaluate, by the processor, accuracy of the predicted event based on the explainability data and supplemental data; and
enrich, by the processor, at least one of the predicted event or the explainability data based on the supplemental data.

14. The computer program product of claim 13 , wherein the supplemental data comprises at least one of an event type corresponding to the explainability data or correlated events corresponding to the explainability data.

15. The computer program product of claim 13 , wherein the supplemental data comprises at least one of diagnostics data, or domain data.

16. The computer program product of claim 13 , wherein the program instructions are further executable by the processor to cause the processor to validate the predicted event based on the supplemental data.

17. The computer program product of claim 13 , wherein the program instructions are further executable by the processor to cause the processor to refine the predicted event based on the supplemental data.

Assignees

• IBM

Inventors

• Shwartz Larisa
• Bagehorn Frank
• Hwang Jinho
• Paraiso Marcos Vinicius L
• Bigaj Rafal
• Venkatesan Vidhya Shankar
• Wiesmann Rothuizen Dorothea
• Mahamuni Amol Bhaskar

Classifications

• G06N5/022 Primary

  Knowledge engineering; Knowledge acquisition · CPC title

• G06F9/542

  Event management; Broadcasting; Multicasting; Notifications · CPC title

• G06F11/0793 Primary

  Remedial or corrective actions (recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40) · CPC title

• G06F2201/86

  Event-based monitoring · CPC title

• G06F11/321

  Display for diagnostics, e.g. diagnostic result display, self-test user interface · CPC title