Framework for choosing the appropriate generalized linear model
US11593713B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 10, 2020 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Oct 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided framework for automatically choosing the appropriate generalized linear model (GLM) given a time series of count data, and for anomaly detection on time series data. A dispersion parameter is determined and used to determine whether the count data is overdispersed data or underdispersed data. The overdispersed data or the underdispersed data is used to determine a GLM to apply on the dataset. Using the determined GLM on the data, anomalies can be determined.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.