The Filter-Placement Problem and its Application to Minimizing Information Multiplicity
Summary: Proposes Filter Placement to curb information multiplicity in uncoordinated data spread. Formalizes the problem, analyzes complexity on graphs, and offers polynomial approximations and scalable heuristics; experiments show few filters cut redundancy. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Dóra Erdős (Boston University)
- 2. Vatche Ishakian (Boston University)
- 3. Andrei Lapets (Boston University)
- 4. Evimaria Terzi (Boston University)
- 5. Azer Bestavros (Boston University)
BibTeX Citation
@article{erdos_vldb12,
title = {{The Filter-Placement Problem and its Application to Minimizing Information Multiplicity}},
author = {Erdős, Dóra and Ishakian, Vatche and Lapets, Andrei and Terzi, Evimaria and Bestavros, Azer},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {5},
pages = {418--429},
doi = {10.14778/2140436.2140439},
url = {https://doi.org/10.14778/2140436.2140439},
year = {2012}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,264 | WALRUS: A Similarity Retrieval Algorithm for Image Databases | 1999 | SIGMOD | 7.5841142e-05 |
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