Automatic feature extraction from a relational database
US10324961B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2017 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Dec 9, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2216/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques facilitating automatic feature extraction from a relational database are provided. In an embodiment, a method can include generating an entity graph based on a relational database, wherein the entity graph comprises a first node associated with a first table in the relational database and a second node associated with a second table in the relational database. In another embodiment, the method can include joining the first table and the second table based on an edge between the first table and the second table defined by the entity graph, wherein a resulting joined table is connected by a column of data. In another embodiment, the method can include extracting a feature from the column of data using a data mining algorithm selected from a set of data mining algorithms based on a type of data in the column of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.