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Implementación de un módulo avanzado de imputación de datos faltantes para KLASS

Authors: Reyes Piedra, Juan de la;

Implementación de un módulo avanzado de imputación de datos faltantes para KLASS

Abstract

El presente trabajo describe la implementación del método de imputación de datos faltantes MIMMI en el sistema Java-KLASS. Este software comprende un compendio de herramientas para la realización de Minería de Datos, que al momento no contaba con un método adecuada de imputación de datos faltantes.

Country
Spain
Keywords

Imputation of missing values, Data Science, Decision Support, Presa de, MIMMI, soporte a la decisión, Imputación de valores faltantes, :Informàtica [Àrees temàtiques de la UPC], Decisió, Presa de, Decisió, Ciencia de Datos, Mineria de dades, Àrees temàtiques de la UPC::Informàtica, Data mining, Decision-making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
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42
95
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