<?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>1409-2433</journal-id>
<journal-title><![CDATA[Revista de Matemática Teoría y Aplicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Mat]]></abbrev-journal-title>
<issn>1409-2433</issn>
<publisher>
<publisher-name><![CDATA[Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1409-24332020000200333</article-id>
<article-id pub-id-type="doi">10.15517/rmta.v27i2.42438artículo</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Associative classification with multiobjective tabu search]]></article-title>
<article-title xml:lang="es"><![CDATA[Clasificación asociativa con búsqueda tabú multiobjetivo]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Beausoleil]]></surname>
<given-names><![CDATA[Ricardo P.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Cibernética Matemática y Física  Departamento de Matemática Interdisciplinaria]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>27</volume>
<numero>2</numero>
<fpage>333</fpage>
<lpage>354</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1409-24332020000200333&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1409-24332020000200333&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1409-24332020000200333&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This paper presents an application of Tabu Search algorithm to association rule mining. We focus our attention specifically on classification rule mining, often called associative classification, where the consequent part of each rule is a class label. Our approach is based on seek a rule set handled as an individual. A Tabu search algorithm is used to search for Pareto-optimal rule sets with respect to some evaluation criteria such as accuracy and complexity. We apply a called Apriori algorithm for an association rules mining and then a multiobjective tabu search to a selection rules. We report experimental results where the effect of our multiobjective selection rules is examined for some well-known benchmark data sets from the UCI machine learning repository.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este artículo presenta una aplicación de Búsqueda Tabu Multiobjetivo a la minería de reglas de asociación. Centramos nuestra atención específicamente en la minería de reglas de clasificación, frecuentemente llamada clasificación asociativa, donde la parte consecuente es una clase. Nuestro enfoque se basa en la búsqueda de un conjunto de reglas manipulado como un individuo para la clasificación. Un algoritmo de Búsqueda Tabu es utilizado para encontrar conjuntos de reglas Pareto-Óptimo con respecto a algunos criterios tales como exactitud y complejidad. Aplicamos el siguiente algoritmo de A priori para la extracción de las reglas de asociación del problema en cuestión y entonces una búsqueda Tabu multiobjetivo es realizada para seleccionar subconjuntos de reglas. Reportamos experimentos donde es examinado el efecto de la selección multiobjetivo para algunos conjuntos de datos bien conocidos de la base de datos del almacén de máquinas de aprendizaje de la UCI.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[combinatorial data analysis]]></kwd>
<kwd lng="en"><![CDATA[associative classification]]></kwd>
<kwd lng="en"><![CDATA[tabu search]]></kwd>
<kwd lng="en"><![CDATA[multiobjective optimization.]]></kwd>
<kwd lng="es"><![CDATA[análisis de datos combinatorio]]></kwd>
<kwd lng="es"><![CDATA[clasificación asociativa]]></kwd>
<kwd lng="es"><![CDATA[búsqueda tabú]]></kwd>
<kwd lng="es"><![CDATA[optimización multiobjectivo.]]></kwd>
</kwd-group>
</article-meta>
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