Systems and methods for visualizing a pattern in a dataset
US10347365B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 8, 2018 |
| Grant date | Jul 9, 2019 |
| Priority date | — |
| Expiry date | Feb 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity in a plurality of first entities for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters. Differences in the discrete attribute values for the first entity across the second entities of a given cluster relative to the discrete attribute value for the same first entity across the other clusters are computed thereby deriving differential values. A heat map of these differential values for each first entity for each cluster is displayed to reveal the pattern in the dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.