Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/handle/123456789/18803
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dc.contributor.authorCartuche Flores, C.es_ES
dc.contributor.authorGomez Alvarado, H.es_ES
dc.contributor.authorArias Tapia, S.es_ES
dc.contributor.authorMalo Martinez, S.es_ES
dc.date.accessioned2017-06-16T22:02:24Z-
dc.date.available2017-06-16T22:02:24Z-
dc.date.submitted10/04/2016es_ES
dc.identifier10.1109/EDUCON.2016.7474710es_ES
dc.identifier.isbn21659559es_ES
dc.identifier.issn978-146738633-3es_ES
dc.identifier.other10.1109/EDUCON.2016.7474710es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/18803-
dc.description.abstractThe identification of academic attributes that allow improving student achievement is of fundamental importance in the teaching learning process. In the current study we present a methodology to recognize the attributes of educational success based Pareto distribution and data mining algorithms that authorize the identification of which attributes most important to child's educational performance. Our results showed the direct theoretical and numerical relationship between academic indicators and the proper selection of the milestones in the learning. Conclusions and future work will be generated from our working the same as is in the process of development.es_ES
dc.languageIngléses_ES
dc.subjectAttributeses_ES
dc.subjectMetricses_ES
dc.subjectParetoes_ES
dc.titleA methodology for identifying attributes of academic excellence based on a 20/80 Pareto distributiones_ES
dc.typeArticlees_ES
dc.publisher2016 IEEE Global Engineering Education Conference (EDUCON)es_ES
Appears in Collections:Artículos de revistas Científicas

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