@article{BrunsDunkel2022,
  author    = {Ralf Bruns and J{\"u}rgen Dunkel},
  title     = {Bat4CEP: a bat algorithm for mining of complex event processing rules},
  series   = {Applied intelligence},
  issn      = {0924-669X},
  doi       = {10.25968/opus-2224},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:960-opus4-22247},
  year      = {2022},
  abstract  = {Complex Event Processing (CEP) is a modern software technology for the dynamic analysis of continuous data streams. CEP is able of searching extremely large data streams in real time for the presence of event patterns. So far, specifying event patterns of CEP rules is still a manual task based on the expertise of domain experts. This paper presents a novel batinspired swarm algorithm for automatically mining CEP rule patterns that express the relevant causal and temporal relations hidden in data streams. The basic suitability and performance of the approach is proven by extensive evaluation with both synthetically generated data and real data from the traffic domain.},
  language  = {en}
}