Using SPIDER: An Experience Report

Summary: Experience report on SPIDER, a SQL-driven framework for flexible, fuzzy string matching over large databases. It uses tf-idf weighted q-grams and cosine similarity with declarative SQL preprocessing to leverage DBMS optimizers for scalable data cleaning and integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3799
Venue: SIGMOD
Year: 2006
Pagerank: -
Overall Rank: 13,625 | 5.31%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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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
4,033	Flexible String Matching Against Large Databases in Practice	2004	VLDB	6.5125692e-05
9,436	Approximate Joins: Concepts and Techniques	2005	VLDB	4.3399748e-05

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