Method and system for clustering, modeling, and visualizing process models from noisy logs
US9324038B2 · kind B2 · utility
6Cited by
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23Claims
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Key dates
| Filing date | Nov 15, 2013 |
| Grant date | Apr 26, 2016 |
| Priority date | — |
| Expiry date | Oct 8, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A process discovery system that includes an offline system training module configured to cluster similar process log traces using Non-negative Matrix Factorization (NMF) with each cluster representing a process model, and learn a Conditional Random Field (CRF) model for each process model and an online system usage module configured to decode new incoming log traces and construct a process graph in which transitions are shown or hidden according to a tuning parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.