Multivariate insight discovery approach
US10896204B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 4, 2019 |
| Grant date | Jan 19, 2021 |
| Priority date | — |
| Expiry date | May 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/206
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A raw dataset including measures and dimensions is processed, by a preprocessing module, using an algorithm that produces a preprocessed dataset such that at least one type of statistical analysis of the preprocessed dataset yields equal results to the same type of statistical analysis of the raw dataset. The preprocessed dataset is then analyzed by a statistical analysis module to identify subsets of the preprocessed dataset that include a non-random structure or pattern. The analysis of the preprocessed dataset includes the at least one type of statistical analysis that produces the same results for both the preprocessed and raw datasets. The identified subsets are then ranked by a statistical ranker based on the analysis of the preprocessed dataset and a subset is selected for visualization based on the rankings. A visualization module then generates a visualization of the selected identified subset that highlights a non-random structure of the selected subset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.