Splitting Tuples of Mismatched Entities
Summary: Inverse ER: split tuples that merge distinct entities into separate records. Proposes a rule-based tuple-splitting scheme with ML for attribute correlation and missing-value imputation, using cross-relational alignment and knowledge-graph data to reach ~0.92 F-measure. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wenfei Fan
- 2. Ziyan Han
- 3. Weilong Ren
- 4. Ding Wang
- 5. Yaoshu Wang
- 6. Min Xie
- 7. Mengyi Yan
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,434 | Rock: Cleaning Data by Embedding ML in Logic Rules | 2024 | SIGMOD | 4.3430376e-05 |
| 10,489 | Incremental Rule Discovery in Response to Parameter Updates | 2025 | SIGMOD | 4.1945683e-05 |
| 11,054 | Enriching Relations with Additional Attributes for ER | 2024 | VLDB | 4.1945683e-05 |
| 11,111 | Rock: Cleaning Data with both ML and Logic Rules | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 39 of 39 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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