The Merge/Purge Problem for Large Databases
Summary: Defines the merge/purge problem for large multi-source databases, identifying the same individuals across inconsistent records. Compares sorted-neighborhood blocking and clustering; a multi-pass transitive closure over alternate keys improves accuracy at the cost of efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mauricio A. Hernández (Columbia University)
- 2. Salvatore J. Stolfo (Columbia University)
BibTeX Citation
@inproceedings{hernandez_sigmod95,
title = {{The Merge/Purge Problem for Large Databases}},
author = {Hernández, Mauricio A. and Stolfo, Salvatore J.},
series = {{SIGMOD} '95},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/223784.223807},
url = {https://dl.acm.org/doi/10.1145/223784.223807},
year = {1995}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 56 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,108 | On Concise Set of Relative Candidate Keys | 2014 | VLDB | 5.0674699e-05 |
| 10,302 | On Saving Outliers for Better Clustering over Noisy Data | 2021 | SIGMOD | 5.0299171e-05 |
| 10,497 | BEACON: Budget-Aware Entity Matching Across Domains | 2026 | SIGMOD | 4.9605343e-05 |
| 11,755 | Matching Roles from Temporal Data | 2023 | SIGMOD | 4.9605343e-05 |
| 12,957 | XClean in Action: A Demonstration of Declarative XML Data Cleaning | 2007 | CIDR | 4.9605343e-05 |
| 13,154 | Systematic Development of Data Mining-Based Data Quality Tools | 2003 | VLDB | 4.9605343e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 220 | An Evaluation of Non-Equijoin Algorithms | 1991 | VLDB | 0.00024275691 |
| 223 | AlphaSort: A RISC Machine Sort | 1994 | SIGMOD | 0.00024059196 |
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