System and method for data visualization using machine learning and automatic insight of facts associated with a set of data
US11023826B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 1, 2018 |
| Grant date | Jun 1, 2021 |
| Priority date | — |
| Expiry date | Oct 1, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can receive a data set that includes data points having data values and attributes, and a target attribute, and use a machine learning process to automatically determine one or more other attributes as driving factors for the target attribute, based on, for example, the use of a decision tree and a comparison of information gain, Gini, or other indices associated with attributes in the data set. Information describing facts associated with the data set can be graphically displayed at a user interface, as visualizations, and used as a starting point for further analysis of the data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.