Statistical machine learning and business process models systems and methods
US9092802B1 · kind B1 · utility
Inventor
Key dates
| Filing date | Aug 15, 2012 |
| Grant date | Jul 28, 2015 |
| Priority date | — |
| Expiry date | Dec 26, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for knowledge extraction that involve providing analytics and blending the analytics with analysis of one or more knowledge processes are provided. Knowledge extraction may be based on combining analytic approaches, such as statistical and machine learning approaches. Unstructured data, such as numerical, geo-spatial, text, speech, image, video, data, and music, may be used as input for these processes. The methods and systems may convert this unstructured data into a structured knowledge that has some specific utility to its user. Some embodiments may involve service requests delivery, information and knowledge extraction, information and knowledge retrieval, media mining, marketing, and other uses. Different granularity levels of knowledge and information extraction may be provided. This differentiation may be used for monetization of the service.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.