|
|
11-01-2007
Registered User
26,240,
27
Analytical Patterns for Complex Event Processing (Part 1)
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: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.
Source...
Thu, 01 Nov 2007 04:02:48 +0000
Back in March of 2006 during my enjoyable*times at TIBCO Software, I presented a keynote at the first event processing symposium, Processing Patterns for Predictive Business.** In that presentation, I introduced a functional event processing reference architecture*and*highlighted the importance of mapping the business requirements for event processing*to appropriate processing analytics and patterns.* The figure below is a screenshot of slide 26 of that presentation:
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.
Source...