Recent efforts in data cleaning of structured data have focused exclusively on problems like
data deduplication, record matching, and data standardization; none of these focus on fixing
incorrect attribute values in tuples. Correcting values in tuples is typically performed by a
minimum cost repair of tuples that violate static constraints like CFDs (which have to be
provided by domain experts, or learned from a clean sample of the database). In this paper,
we provide a method for correcting individual attribute values in a structured database using …

Recent efforts in data cleaning have focused mainly on problems like data deduplication,
record matching, and data standardization; none of these focus on fixing incorrect attribute
values in tuples. Correcting values in tuples is typically performed by a minimum cost repair
of tuples that violate static constraints like CFDs (which have to be provided by domain
experts, or learned from a clean sample of the database). In this paper, we provide a method
for correcting individual attribute values in a structured database using a Bayesian …