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unities, deploying diverse approximate match predicates. The objective of this tutorial is to provide a comprehensive and cohesive overview of the key research results, techniques, and tools used for approximate joins. It complements recent data quality tutorials that present broad overviews of various aspects of data quality, and don't delve into the details of approximate join technology [2, 1]. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment. Proceedings of the 31st VLDB Conference, Trondheim, Norway, 2005 2 Tutorial Outline The tutorial is example driven, and organized as follows. Formally define the various
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Stored only when both papers are in the corpus — 30 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.