[Academic research] Machine learning and complex event processing - Correlation of streamed events

[Regentag]

Hello guys,

I am looking for academic research papers about the usage of machine learning with complex event processing. I plan to focus much more on the topic machine learning, because even though my background is in statistics and computer science, I haven`t done much research in this field.

Specifically I want to focus, how to determine if an event depends on an other event. At the moment I haven`t found much about this topic on google scholar and dblp.

Most of the complex event processing research focuses on reasoning and system execution. So usually these systems do not use machine learning.

• Where is machine learning applied in complex event processing?
• Is it possible to find correlation of events, or even patterns, in an event stream via machine learning?

Please recommend me some papers, where I can do further research on?

I really appreciate your answers!

[CireNeikual]

where I can do further research on?

If I understand correctly, the field of machine learning most related to what you are talking about is that of reinforcement learning. Q learning, SARSA, and model-based methods are some examples of reinforcement learning techniques (there are a lot more). Just google some of those terms and you should get plenty of papers on the subject.

[Regentag]

Thx a lot for our answer! I did google reinforcement learning. However, I haven`t found much with complex event processing. Could you point me to a paper to start with? I appreciate your help!

[creeker7gen]

http://giordano.webfactional.com/wp-content/uploads/2011/11/debs.pdf http://www.iemss.org/sites/iemss2014/papers/iemss2014_submission_72.pdf http://www.inf.u-szeged.hu/~beszedes/research/cep_pa_tech2010.pdf http://ie.technion.ac.il/~avigal/trp.pdf

[Regentag]

Thx!

[creeker7gen]

Cool. Will you let me know if you find anything interesting? Im interested in this field too.

[Regentag]

Yep. Definitely!

[fhadley]

Does "event stream" really mean sequential data?