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Rapport (Rapport De Recherche) Année : 2014

Data Quality Check: Methods & Procedures

Résumé

The outcome of this report is a targeted review of existing outlier-detection tools in the field of statistics, data mining and spatial analysis, and an examination how they can assist in the detection of errors/outliers in the ESPON Database for improved quality control. This methodological review has a clear focus on spatial analysis with respect to outlier-detection; and is complemented by worked examples on an ESPON-type data set, where chosen techniques are demonstrated. Worked examples are coded using open-source software so that the applied techniques are easily transferable.
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Dates et versions

hal-03609712, version 1 (15-03-2022)

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  • HAL Id : hal-03609712 , version 1

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Martin Charlton, Paul Harris, Alberto Caimo, Conor Cahalane. Data Quality Check: Methods & Procedures. [Research Report] ESPON. 2014. ⟨hal-03609712⟩

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