Performance testing based on variable length segmentation and clustering of time series data
US10643138B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2015 |
| Grant date | May 5, 2020 |
| Priority date | — |
| Expiry date | Aug 9, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Performance testing based on variable length segmentation and clustering of time series data is disclosed. One example is a system including a training module, a performance testing module, and an interface module. The training module generates a trained model to learn characteristics of a system of interest from training time series data by segmenting the training time series data into homogeneous windows of variable length, clustering the segments to identify patterns, and associating each cluster with a cluster score. The performance testing module analyzes system characteristics from testing time series data by receiving the testing time series data, and determining a performance metric for the testing time series data by analyzing the testing time series data based on the trained model. The interface module is communicatively linked to the performance testing module, and provides the performance metric via an interactive graphical user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.