CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning
Summary: CleanM unifies diverse data-cleaning operations in an optimizable language, translated across three abstraction levels for systematic optimization. Deployed on heterogeneous-data CleanDB, it provides a single query/cleaning interface with scalable, scale-out execution. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stella Giannakopoulou (EPFL)
- 2. Manos Karpathiotakis (EPFL)
- 3. Benjamin Gaidioz (EPFL)
- 4. Anastasia Ailamaki (EPFL; RAW Labs)
BibTeX Citation
@article{giannakopoulou_vldb17,
title = {{CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning}},
author = {Giannakopoulou, Stella and Karpathiotakis, Manos and Gaidioz, Benjamin and Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
doi = {10.14778/3137628.3137654},
url = {https://doi.org/10.14778/3137628.3137654},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,361 | Cleaning Denial Constraint Violations through Relaxation | 2020 | SIGMOD | 7.4872032e-05 |
| 6,377 | Scalable Querying of Nested Data | 2021 | VLDB | 5.8931544e-05 |
| 8,053 | Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems | 2025 | SIGMOD | 5.4990605e-05 |
| 9,928 | EasyDR: A Human-in-the-loop Error Detection&Repair Platform for Holistic Table Cleaning | 2022 | VLDB | 5.1955087e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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