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Treffer: Reproducibility Report for ACM SIGMOD 2024 Paper: 'Grafite: Taming Adversarial Queries with Optimal Range Filters'

Title:
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Grafite: Taming Adversarial Queries with Optimal Range Filters'
Authors:
Carlos E. Muñiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa, Giorgio Vinciguerra
Source:
Reproducibility Reports of the 2024 International Conference on Management of Data. :74-81
Publisher Information:
ACM, 2025.
Publication Year:
2025
Subject Terms:
Range Filter, Bloom Filter, Range Search, Data Structure
Document Type:
Fachzeitschrift Article<br />Conference object
DOI:
10.1145/3687998.3717045
Access URL:
https://hdl.handle.net/11568/1304107
https://doi.org/10.1145/3687998.3717045
Rights:
CC BY
Accession Number:
edsair.doi.dedup.....cc7f729e304736f1b2fd55be2a47e48a
Database:
OpenAIRE

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We have successfully reproduced the evaluation results in the paper. We appreciate that the authors have prepared detailed documents and automation scripts for reproducibility. Our reproduced results show similar trends and relationships between the alternatives compared and support the scientific contributions and claims of the original paper.