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Improving quality of OR data sets: Detecting and removing data errors that involve superhuman complexity
Improving quality of OR data sets: Detecting and removing data errors that involve superhuman complexity
Speaker: Dr. Inci Yüksel-Ergün, Zuse Institute Berlin (ZIB) Data is ubiquitous in the age of analytics. The reliability of decisions based on OR studies depends on the underlying data quality. However, identifying pertinent data and assessing its quality is challenging. It is inevitable to employ highly-connected and consistent real-world data sets to model complex decisions. […]
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