: Data Quality is a major stake for large organizations and software companies are proposing increasing numbers of tools focusing on these issues. The scope of these tools is movin...
The quality of data is a critical factor for all kinds of decision-making and transaction processing. While there has been a lot of research on data quality in the past two decades...
This study presents a methodology for dual assessments of data. Impartial assessment measures the extent to which data is defective. Utility-driven assessments of data quality mea...
Vehicle production audit tests, warranty claims and car control unit data are stored in a central data warehouse for data mining analysis. Neural network based part failure rate es...
Matthias Grabert, Markus Prechtel, Tomas Hrycej, W...
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...