Tim Bass
Thu, 01 Nov 2007 04:02:48 +0000

The idea behind the illustration above was that it is*essential for organizations to look at their business problems and deterimine the best processing pattern, or processing analytics,*in the context of the*problem they are trying to solve.** I also*graphically illustrated*a few examples of event processing*analytics relevant to CEP, including:

• Rule-Based Inference;
• Bayesian Belief Networks (Bayes Nets);
• Dempster-Shafer’s Method;
• Adaptive Neural Networks;
• Cluster Analysis; and
• State-Vector Estimation.

The key takeaway*for that part of*my*presentation*was that many analytics*for CEP exist in the art & science of mature multi-sensor data fusion processing and*these analytics can be mapped to recurring business patterns in event processing. I illustrated this point in slide 28 with the figure below (for illustrative purposes only):

In future posts on this topic I will elaborate by discussing analytics at each level of the functional CEP reference architecture, highlighting where different analytical methods and patterns can be efficiently applied to solve real-world event processing business problems.




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