The authors create and release a large real-world dirty postal address dataset with ground truth to benchmark data cleaning methods and highlight limitations of existing approaches.
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A new catalog classifying 35 data error types into missing, incorrect, and redundant categories for tabular data, with definitions and examples to improve data quality management.
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A Catalog of Data Errors
A new catalog classifying 35 data error types into missing, incorrect, and redundant categories for tabular data, with definitions and examples to improve data quality management.