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Systematic Development of Data Mining-Based Data Quality Tools

Summary: Introduces a data audit test generator that creates and perturbs synthetic benchmark databases to calibrate error measurements in ML-driven, induced-schema data quality tools. Implemented in a C4.5-based framework and validated on a DaimlerChrysler service DB; it complements standard data scrubbing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9004
Venue
VLDB
Year
2003
Pagerank
4.1945683e-05
Overall Rank
12,624 | 12.18%
DOI
-

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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
161 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.00039846974
691 AJAX: An Extensible Data Cleaning Tool 2000 SIGMOD 0.00018086135
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