Processing of Probabilistic Skyline Queries Using MapReduce
Summary: MapReduce algorithms for probabilistic skyline on uncertain data (discrete/continuous); three pruning filters enable early non-skyline elimination. PS-QP-MR uses a quadtree-based space partition in a single MR phase; PS-QPF-MR adds explicit filtering and workload balancing, outperforming brute-force variants in scalability. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yoonjae Park (Seoul National University)
- 2. Jun-Ki Min (Korea University)
- 3. Kyuseok Shim (Seoul National University)
BibTeX Citation
@article{park_vldb15,
title = {{Processing of Probabilistic Skyline Queries Using MapReduce}},
author = {Park, Yoonjae and Min, Jun-Ki and Shim, Kyuseok},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1406--1417},
doi = {10.14778/2824032.2824044},
url = {https://doi.org/10.14778/2824032.2824044},
year = {2015}
}
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