Generating complex event processing rules utilizing machine...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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Details

C706S045000, C706S046000, C706S047000, C706S059000

Reexamination Certificate

active

08078556

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.

REFERENCES:
patent: 6604093 (2003-08-01), Etzion et al.
patent: 7356522 (2008-04-01), Herrera et al.
Luckham, David C. and Frasca, Brian. Complex Event Processing in Distributed Systems. Stanford University Technical Report CSL-TR-98-754, 1998.
TIBCO—Predictive Customer Interaction Management, 2006, TIBCO Software Inc.
TIBCO—Complex Even Processing, May 16, 2007, TIBCO Software Inc.

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