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<title>Artículo Académico 2016</title>
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<description>Trabajo escrito para titulación: Artículo Académico</description>
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<dc:date>2026-04-11T22:42:21Z</dc:date>
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<title>Indicadores de Control de Calidad para Monitoreo Continuo Coca Cola FEMSA</title>
<link>http://www.ptolomeo.unam.mx:8080/xmlui/handle/132.248.52.100/10201</link>
<description>Indicadores de Control de Calidad para Monitoreo Continuo Coca Cola FEMSA
Mayén Núñez, Alfredo
Establecer lineamientos para el análisis de indicadores de control que arroja la gestión del software SAP. Implementar una gestión Up and Down para tomar decisiones adecuadas.
Establecer un modelo correcto de análisis de la información que genera SAP para la toma de decisiones y retroalimentar a los funcionales de cada proceso.
</description>
<dc:date>2016-05-28T00:00:00Z</dc:date>
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<title>Analysis of Intertextual Distances Using Multidimensional   Scaling in the Context of Authorship Attribution</title>
<link>http://www.ptolomeo.unam.mx:8080/xmlui/handle/132.248.52.100/9766</link>
<description>Analysis of Intertextual Distances Using Multidimensional   Scaling in the Context of Authorship Attribution
López Escobedo, Fernanda; Solórzano Soto, Julián; Sierra Martínez, Gerardo
Four distance functions were evaluated in order to determine which one better represents two types of style markers (named as static and dynamic) commonly used for authorship attribution tasks. Intertextual distances were analysed from different authors and evaluated if the closest text to another was written by the same author. Classic multidimensional scaling was used to visualize intertextual distances because we consider that this is a method that allows the judges to better understand and visualize the results.

The outcome of this paper is that selecting different distance functions considering the type of style marker improves the clustering of texts from the same author. We concluded that while for static features Canberra distance is recomendable, the dynamic features must depend on the style of each author.
Este trabajo presenta un análisis de cuatro funciones de distancia para evaluar el desempeño de dos tipos de marcadores estilométricos (denominados estáticos y dinámicos) comúnmente utilizados en tareas de atribución de autoría.
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<dc:date>2016-04-07T00:00:00Z</dc:date>
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