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

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!