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Detecting database records that are approximate duplicates, but not exact duplicates, is an important task. Databases may contain duplicate records concerning the same real-world entity because of data entry errors, unstandardized abbreviations, or differences in the detailed schemas of records from multiple databases – such as what happens in data warehousing where records from multiple data sources are integrated into a single source of information – among other reasons. In this paper we review a system to detect approximate duplicate records in a database and provide properties that a pair-wise record matching algorithm must have in order to have a successful duplicate detection system. 1
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Stored only when both papers are in the corpus — 81 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.