System and method for inferencing of data transformations through pattern decomposition
US10705812B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2017 |
| Grant date | Jul 7, 2020 |
| Priority date | — |
| Expiry date | Aug 22, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5061
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can provide a service to recommend actions and transformations, on an input data, based on patterns identified from the functional decomposition of a data flow for a software application, including determining possible transformations of the data flow in subsequent applications. Data flows can be decomposed into a model describing transformations of data, predicates, and business rules applied to the data, and attributes used in the data flows.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.