Predicting event types and time intervals for projects
US11074529B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 4, 2015 |
| Grant date | Jul 27, 2021 |
| Priority date | — |
| Expiry date | Mar 12, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/103
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
One embodiment provides a method comprising mapping project attributes for past projects to a first parameter set associated with a first model that models distribution of event types of project events, and a second parameter set associated with a second model that models distribution of the time intervals of project events. Specifically, machine learning is applied to a set of historical data for the past projects to obtain a first and a second set of learned weights. The method further comprises predicting information relating to a next project event for an ongoing project by generating a first probability distribution for a set of possible event types for the next project event utilizing the first model, and, for each possible event type, generating a corresponding probability distribution for time intervals of occurrence of the possible event type utilizing the first model and the second model in a pipelined fashion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.