Interactive Demonstration of Probabilistic Predicates

SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018, pp. 1669-1672, 2018.

Cited by: 3|Bibtex|Views100|DOI:https://doi.org/10.1145/3183713.3193542
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

We will demonstrate a prototype query processing engine that uses probabilistic predicates (PPs) to speed up machine learning inference jobs. In current analytic engines, machine learning functions are modeled as user-defined functions (UDFs) which are both time and resource intensive. These UDFs prevent predicate pushdown; predicates tha...More

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