Corpus ID: 90262531

Query the model: precomputations for efficient inference with Bayesian Networks

@article{Aslay2019QueryTM,
  title={Query the model: precomputations for efficient inference with Bayesian Networks},
  author={Çigdem Aslay and A. Gionis and M. Mathioudakis},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.00079}
}
Probabilistic models learned from a database can be used for the purposes of approximate query processing and predictive querying, two tasks that must be performed at interactive speeds in many real-life settings. In this paper, we propose a novel approach towards speeding up query evaluation over a probabilistic model by materializing a set of probabilistic quantities involved in query evaluation. Specifically, we consider a scenario where a Bayesian network is built over a relational database… Expand

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