Automated log analysis and problem solving using intelligent operation and deep learning
US10649882B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2017 |
| Grant date | May 12, 2020 |
| Priority date | — |
| Expiry date | Dec 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of training, using a computer log file, an application error prediction engine to identify one or more application errors includes parsing the computer log file into a plurality of data sets. Each data set is associated with a unique computing session having a session identifier and ending in an application or. The method also includes extracting, from each data set, values for a specified set of parameters in each data set. The method also includes encoding the extracted values for each data set into a corresponding data structure. The method also includes generating, for each data structure, a corresponding vector, the corresponding vectors collectively forming a matrix. The method also includes calculating, based on the matrix, a set of clusters, each cluster corresponding to a known error type, the set of clusters used to create a model used to identify new error types.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.