Generating complex event processing rules utilizing machine learning from multiple events
US8078556B2 · kind B2 · utility
89Cited by
2References
20Claims
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Key dates
| Filing date | Feb 20, 2008 |
| Grant date | Dec 13, 2011 |
| Priority date | — |
| Expiry date | Oct 14, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A novel and useful mechanism enabling a standard learning algorithm to generate rules for complex event processing (CEP) systems. The method creates rules that infer previously defined output events by creating input event feature vectors for each targeted output event. In addition, a method for automatically generating CEP system rules to infer output events which are anomalies (i.e. statistical outliers) of input event sequences is disclosed. Input feature vectors consisting of multiple input events and parameters for each targeted output event are then input into a standard learning algorithm to generate CEP system rules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.