Corpus ID: 8714410

Probabilistic and fuzzy logic based event processing for effective business intelligence

@article{Vaiyapuri2016ProbabilisticAF,
  title={Probabilistic and fuzzy logic based event processing for effective business intelligence},
  author={Govindasamy Vaiyapuri and Thambidurai Perumal},
  journal={Int. Arab J. Inf. Technol.},
  year={2016},
  volume={13},
  pages={258-266}
}
This paper focuses on Probabilistic Complex Event Processing (PCEP) in the context of real world event sources of data streams. [...] Key Method In the first phase, a Non1deterministic Finite Automaton (NFA) based event matching allows to filter the relevant events by discovering the occurrences of the user defined event patterns in a large volume of continuously arriving data streams.Expand
2 Citations
Complex event processing over uncertain events: Techniques, challenges, and future directions
TLDR
The basics of uncertainty are discussed, models and query processing methods to deal with uncertainty are explored, and the future directions for handling uncertain events in CEP are discussed in detail. Expand
An adaptive parallel processing strategy in complex event processing systems over data streams
TLDR
A parallelization model and an adaptive parallel processing strategy are proposed for the complex event processing by introducing a histogram, and utilizing the probability and queue theory to estimate the optimal event splitting policy. Expand

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