A principled approach for improving data quality: bridging theory and practice. University of Antwerp
The improvement of the quality of data has been recognised as the number one challenge for data management. The need for effective methods to detect errors in data, to identify objects from unreliable data sources, and to repair the errors is evident. Indeed, there is an increasing demand for data quality tools in the current digital society and industries in particular, to add accuracy and value to business processes.To accommodate for those ...