Detecting anomalies in visualizations
US12353442B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2022 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Sep 8, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06393
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are directed to managing visualizations of data. Visualizations to monitor may be determined based on metrics associated with the monitored visualizations. Mark values may be sampled from each monitored visualization such that the sampled mark values may be stored with a timestamp. If an amount of the sampled mark values for a monitored visualization exceeds a threshold value mark models may be trained to classify a portion of the sampled mark values associated with the monitored visualization such that the mark models may predict ranges of values for the classified mark values associated with the monitored visualization. If the portion of the classified mark values associated with the monitored visualization has a value outside of the predicted range values, indicating that the monitored visualization may be associated with an anomalous mark value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.