Sequential learning for case-based pattern recognition in complex event domains

Abstract

Large and distributed environments usually generate huge amounts of information. The easiest way to deal with this information in an uncoupled and asynchronous way is using event oriented approaches. These systems are usually implemented to react to the generated information. This paper presents a new track to add to these architectures a mechanism to… (More)

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Cite this paper

@inproceedings{Gay2011SequentialLF, title={Sequential learning for case-based pattern recognition in complex event domains}, author={Pablo Gay and Beatriz Lopez and Joaqu{\'i}m Mel{\'e}ndez}, year={2011} }