The problem of data cleaning, which consists of removing inconsistencies and errors from original data sets, is well known in the area of decision support systems and data warehou...
Helena Galhardas, Daniela Florescu, Dennis Shasha,...
Integrity constraints, a.k.a. data dependencies, are being widely used for improving the quality of schema. Recently constraints have enjoyed a revival for improving the quality o...
Research and products for the integration of heterogeneous legacy source databases in data warehousing have addressed numerous data quality problems in or between the sources. Suc...
Matthias Jarke, Christoph Quix, Guido Blees, Dirk ...
As databases become more pervasive through the biological sciences, various data quality issues regarding data legacy, data uniformity and data duplication arise. Due to the natur...
Katherine G. Herbert, Narain H. Gehani, William H....
We present SEMANDAQ, a prototype system for improving the quality of relational data. Based on the recently proposed conditional functional dependencies (CFDs), it detects and rep...