Automatic feature extraction from unstructured log data utilizing term frequency scores
US11372904B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 16, 2019 |
| Grant date | Jun 28, 2022 |
| Priority date | — |
| Expiry date | Dec 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/45558
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes obtaining, in a given log processing node, at least two different types of logs associated with assets of an enterprise system. The method also includes generating, at the given log processing node, frequency scores for terms in unstructured log data of each of the different log types, the generated frequency score for a given term in unstructured log data of a given log type being based on (i) occurrence of the given term in historical logs of the given log type previously processed by log processing nodes and (ii) occurrence of the given term in the obtained logs of the given log type. The method further includes extracting, at the given log processing node, features from the obtained logs based on the frequency scores, detecting events affecting the assets utilizing the extracted features, and modifying a configuration of the assets responsive to detecting the events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.