Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness
Summary: Sparcle augments rule-based data cleaning for spatial attributes by relaxing co-occurrence to spatial neighborhoods and applying distance-weighted rule satisfaction. Integrated into a state-of-the-art cleaner, it improves cleaning accuracy on real and synthetic spatial datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,081 | From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies | 2026 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,308 | Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions | 2021 | VLDB | 9.0634287e-05 |
| 4,287 | Clue-based Spatio-textual Query | 2017 | VLDB | 6.2824978e-05 |
| 10,933 | Similarity Joins of Sparse Features | 2024 | SIGMOD | 4.1905499e-05 |
| 7,644 | Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations | 2015 | VLDB | 4.6853638e-05 |
| 11,141 | Neighborhood-Preserving Graph Sparsification | 2024 | VLDB | 4.1905499e-05 |
| 4,646 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB | 6.0176549e-05 |
| 2,805 | Query-Oriented Data Cleaning with Oracles | 2015 | SIGMOD | 8.103731e-05 |
| 4,911 | Temporal Rules Discovery for Web Data Cleaning | 2016 | VLDB | 5.8349225e-05 |
| 10,081 | From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies | 2026 | SIGMOD | 4.1905499e-05 |
| 9,897 | Top-k Relevant Semantic Place Retrieval on Spatial RDF Data | 2016 | SIGMOD | 4.2559233e-05 |