On Active Learning of Record Matching Packages
Summary: Active learning for record matching: selective labeling to train a classifier. New algorithms exploit record-matching structure to guarantee quality and scalability; real-world experiments validate effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arvind Arasu
- 2. Michaela Götz
- 3. Raghav Kaushik
Incoming Citations (Sorted by Pagerank)
Showing 31 of 31 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 67 | The Merge/Purge Problem for Large Databases | 1995 | SIGMOD | 0.00061348205 |
| 125 | Approximate String Joins in a Database (Almost) for Free | 2001 | VLDB | 0.00044847972 |
| 229 | Reference Reconciliation in Complex Information Spaces | 2005 | SIGMOD | 0.00032242633 |
| 250 | Efficient set joins on similarity predicates | 2004 | SIGMOD | 0.00030661988 |
| 266 | Efficient Exact Set-Similarity Joins | 2006 | VLDB | 0.00029718727 |
| 280 | Eliminating Fuzzy Duplicates in Data Warehouses | 2002 | VLDB | 0.00029113044 |
| 1,202 | VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams | 2007 | VLDB | 0.00013326298 |
| 1,533 | Example-driven Design of Efficient Record Matching Queries | 2007 | VLDB | 0.00011471971 |
| 3,267 | Benchmarking Declarative Approximate Selection Predicates | 2007 | SIGMOD | 7.3058429e-05 |
Previous
Page 1 / 1
Next