<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0379-3982</journal-id>
<journal-title><![CDATA[Revista Tecnología en Marcha]]></journal-title>
<abbrev-journal-title><![CDATA[Tecnología en Marcha]]></abbrev-journal-title>
<issn>0379-3982</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0379-39822022000100115</article-id>
<article-id pub-id-type="doi">10.18845/tm.v35i1.5395</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Predicción de la calidad en revestimientos moldeados para puertas mediante el uso de minería de datos]]></article-title>
<article-title xml:lang="en"><![CDATA[Quality prediction in molded door skin using data mining]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Troncoso-Espinosa]]></surname>
<given-names><![CDATA[Fredy]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castro-Albornoz]]></surname>
<given-names><![CDATA[Karen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Bío-Bío  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Promasa S.A  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Chile</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>35</volume>
<numero>1</numero>
<fpage>115</fpage>
<lpage>127</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S0379-39822022000100115&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S0379-39822022000100115&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S0379-39822022000100115&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Un revestimiento moldeado para puertas es un tablero de madera de alta densidad que es utilizado como el principal componente en la fabricación de puertas. Para asegurar su comercialización, se debe cumplir con exigentes normas de calidad, siendo la principal norma aquella que mide la fuerza necesaria para desprender el revestimiento de la estructura de una puerta. Los ensayos de calidad son realizados cada dos horas y sus resultados son obtenidos luego de aproximadamente cinco horas. Si los resultados muestran que los revestimientos están fuera del estándar de calidad exigido, se generan pérdidas económicas debido a este tiempo de espera. Esta investigación propone el uso de minería de datos mediante técnicas de machine learning para predecir en forma continua esta medida de calidad y reducir las pérdidas económicas asociadas a la espera de los resultados. Para la aplicación de minería de datos, se creó una base de datos en base al registro histórico de las variables del proceso productivo y de los ensayos de calidad. La metodología empleada es el descubrimiento de conocimiento en bases de datos KDD (Knowledge Discovery in Databases). La aplicación de esta metodología permitió identificar las principales variables que afectan la calidad de los revestimientos y entrenar cuatro algoritmos de machine learning para predecir su calidad. Los resultados muestran que el algoritmo que mejor predice la calidad es Neural Net y permiten demostrar que la implementación del algoritmo Neural Net reducirá las pérdidas económicas asociadas a la espera de los resultados de los ensayos de calidad.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract A door skin is a high-density wooden board and is the main component in the manufacture of doors. To ensure its commercialization, it must comply with demanding quality standards, the main one that measures the force necessary to detach the door skin from the structure of a door. Quality tests are carried out every two hours and the results are obtained after five hours. If the results show that the door skins are outside the required quality standard financial losses are generated during this waiting time. This research proposes the use of data mining using machine learning techniques to continuously predict this measure of door skin quality and reduce the economic losses associated with waiting for quality tests. For the use of data mining, a database was created using historical record of the variables of the production process and quality tests. The methodology used is the discovery of knowledge in KDD databases (Knowledge Discovery in Databases). The application of this methodology allowed identifying the main variables that affect the quality of the door skin and training four machine learning algorithms to predict the quality. The results show that the algorithm that best performance is Neural Net and allows to show that the implementation of the Neural Net algorithm will reduce the economic losses associated with waiting for the results of the quality tests.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Minería de datos]]></kwd>
<kwd lng="es"><![CDATA[Machine learning]]></kwd>
<kwd lng="es"><![CDATA[Revestimiento para puertas]]></kwd>
<kwd lng="es"><![CDATA[Calidad]]></kwd>
<kwd lng="es"><![CDATA[Producción]]></kwd>
<kwd lng="en"><![CDATA[Data mining]]></kwd>
<kwd lng="en"><![CDATA[Machine learning]]></kwd>
<kwd lng="en"><![CDATA[Door skin]]></kwd>
<kwd lng="en"><![CDATA[Quality]]></kwd>
<kwd lng="en"><![CDATA[Manufacture]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rostami]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Dantan]]></surname>
<given-names><![CDATA[J.-Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Homri]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Review of data mining applications for quality assessment in manufacturing industry: support vector machines]]></article-title>
<source><![CDATA[International Journal of Metrology and Quality Engineering,]]></source>
<year>2015</year>
<page-range>401</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thiede]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Turetskyy]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Kwade]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Kara]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Herrmann]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data mining in battery production chains towards multi-criterial quality prediction]]></article-title>
<source><![CDATA[CIRP Annals,]]></source>
<year>2019</year>
<page-range>463-6</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="">
<collab>Masonite Chile S.A</collab>
<source><![CDATA[www.masonite.cl,»]]></source>
<year></year>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Salgado]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Procediminetos para ensayos físico-mecánicos,]]></article-title>
<source><![CDATA[Masonite Chile, Cabrero, VIII región, Chile]]></source>
<year>2012</year>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Eleotério]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Filho]]></surname>
<given-names><![CDATA[M. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Júnior]]></surname>
<given-names><![CDATA[G. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Propriedades físicas e mecânicas de painéis MDF de diferentes massas específicas e teores de resina]]></article-title>
<source><![CDATA[Ciência Florestal]]></source>
<year>2000</year>
<page-range>75-90</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Poblete]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Relacion entre densidad y propiedades de tableros HDF producidos por un proceso seco]]></article-title>
<source><![CDATA[Maderas. Ciencia y tecnología]]></source>
<year>2006</year>
<page-range>169-82</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Köksal]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Batmaz]]></surname>
<given-names><![CDATA[&#304;]]></given-names>
</name>
<name>
<surname><![CDATA[Testik]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review of data mining applications for quality improvement in manufacturing industry,]]></article-title>
<source><![CDATA[Expert systems with Applications]]></source>
<year>2011</year>
<page-range>13448-67</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ribeiro]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Sanfins]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Belo]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wastewater treatment plant performance prediction with support vector machines]]></article-title>
<source><![CDATA[Industrial Conference on Data Mining]]></source>
<year>2013</year>
<page-range>99-111</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Schillings]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Boyd]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Applying artificial neural networks and virtual experimental design to quality improvement of two industrial processes]]></article-title>
<source><![CDATA[International Journal of Production Research,]]></source>
<year>2004</year>
<page-range>101</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tseng]]></surname>
<given-names><![CDATA[H.-Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Welding parameters optimization for economic design using neural approximation and genetic algorithm]]></article-title>
<source><![CDATA[The International Journal of Advanced Manufacturing Technology,]]></source>
<year>2006</year>
<page-range>897</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[W.-C]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[W.-J.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[K.-Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The implementation of neural network for semiconductor PECVD process]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2007</year>
<page-range>1148-53</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Agarwal]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Shivpuri]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An on-line hierarchical decomposition based Bayesian model for quality prediction during hot strip rolling,»]]></article-title>
<source><![CDATA[ISIJ international,]]></source>
<year>2012</year>
<page-range>1862-71</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Austin]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Tu]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Ho]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Levy]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes,»]]></article-title>
<source><![CDATA[Journal of clinical epidemiology]]></source>
<year>2013</year>
<page-range>398-407</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fayyad]]></surname>
<given-names><![CDATA[U]]></given-names>
</name>
<name>
<surname><![CDATA[Piatetsky-Shapiro]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Smyth]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Uthurusamy]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<source><![CDATA[Advances in knowledge discovery and data mining, American Association for Artificial Intelligence]]></source>
<year>1996</year>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Troncoso Espinosa]]></surname>
<given-names><![CDATA[F. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Fuentes Figueroa]]></surname>
<given-names><![CDATA[P. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Belmar Arriagada]]></surname>
<given-names><![CDATA[I. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicción de fraudes en el consumo de agua potable mediante el uso de minería de datos]]></article-title>
<source><![CDATA[Universidad Ciencia y Tecnología]]></source>
<year>2020</year>
<volume>24</volume>
<page-range>58-66</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fayyad]]></surname>
<given-names><![CDATA[U]]></given-names>
</name>
<name>
<surname><![CDATA[Piatetsky-Shapiro]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Smyth]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The KDD process for extracting useful knowledge from volumes of data]]></article-title>
<source><![CDATA[Communications of the ACM]]></source>
<year>1996</year>
<page-range>27-34</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Frawley]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Piatetsky-Shapiro]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Matheus]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Knowledge discovery in databases: An overview]]></article-title>
<source><![CDATA[AI magazine]]></source>
<year>1992</year>
<page-range>57</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Calvo Valverde]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mena Arias]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluación de distintas técnicas de representación de texto y medidas de distancia de texto usando KNN para clasificación de documentos.,]]></article-title>
<source><![CDATA[Tecnología en Marcha,]]></source>
<year>2020</year>
<volume>33</volume>
<page-range>64-79</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Calvo Valverde]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Alfaro Barboza]]></surname>
<given-names><![CDATA[D. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Descubrimiento de reglas significativas mediante el uso de DTW basado en Interpolación Spline Cúbico]]></article-title>
<source><![CDATA[Tecnología en Marcha,]]></source>
<year>2020</year>
<volume>33</volume>
<page-range>137-49</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Troncoso Espinosa]]></surname>
<given-names><![CDATA[F. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of Recidivism in Thefts and Burglaries Using Machine Learning]]></article-title>
<source><![CDATA[Indian Journal of Science and Technology]]></source>
<year>2020</year>
<volume>13</volume>
<page-range>696-711</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kantardzic]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data mining: concepts, models, methods, and algorithms,]]></article-title>
<source><![CDATA[John Wiley &amp; Sons]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Morales]]></surname>
<given-names><![CDATA[C. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[S. V]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[C. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estado actual de la aplicación de la minería de datos a los sistemas de enseñanza basada en web]]></article-title>
<source><![CDATA[TAMIDA2005]]></source>
<year>2005</year>
<page-range>49-56</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Romero]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Ventura]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data mining in education]]></article-title>
<source><![CDATA[Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery]]></source>
<year>2013</year>
<page-range>12-27</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Pei]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Kamber]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data mining: concepts and techniques]]></article-title>
<source><![CDATA[Elsevier]]></source>
<year>2011</year>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Larose]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Larose]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Discovering knowledge in data: an introduction to data mining]]></article-title>
<source><![CDATA[John Wiley &amp; Sons]]></source>
<year>2014</year>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yeh]]></surname>
<given-names><![CDATA[I.-C.]]></given-names>
</name>
<name>
<surname><![CDATA[Lien]]></surname>
<given-names><![CDATA[C.-h.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2009</year>
<page-range>2473-80</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lakshminarayan]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Harp]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Goldman]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Samad]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Imputation of Missing Data Using Machine Learning Techniques]]></article-title>
<source><![CDATA[KDD-96 Proceedings]]></source>
<year>1996</year>
<page-range>140-5</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nguyen Cong]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Rivero Pérez]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Morell]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Aprendizaje supervisado de funciones de distancia: estado del arte]]></article-title>
<source><![CDATA[Revista Cubana de Ciencias Informáticas]]></source>
<year>2015</year>
<page-range>14</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guyon]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Elisseeff]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An introduction to variable and feature selection,»]]></article-title>
<source><![CDATA[Journal of machine learning research,]]></source>
<year>2003</year>
<page-range>1157</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Polat]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Güne&#351;]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new feature selection method on classification of medical datasets: Kernel F-score feature selection]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2009</year>
<page-range>10367-73</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chawla]]></surname>
<given-names><![CDATA[N. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Bowyer]]></surname>
<given-names><![CDATA[K. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Hall]]></surname>
<given-names><![CDATA[L. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Kegelmeyer]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[SMOTE: Synthetic Minority Over-sampling Technique]]></article-title>
<source><![CDATA[Journal of Artificial Inteligence Research]]></source>
<year>2002</year>
<page-range>321-57</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
