<?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>1390-6542</journal-id>
<journal-title><![CDATA[Enfoque UTE]]></journal-title>
<abbrev-journal-title><![CDATA[Enfoque UTE]]></abbrev-journal-title>
<issn>1390-6542</issn>
<publisher>
<publisher-name><![CDATA[Universidad UTE]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1390-65422020000100056</article-id>
<article-id pub-id-type="doi">10.29019/enfoque.v11n1.584</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Detección de valores atípicos con técnicas de minería de datos y métodos estadísticos]]></article-title>
<article-title xml:lang="en"><![CDATA[Outlier detection with data mining techniques and statistical methods]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Orellana,]]></surname>
<given-names><![CDATA[Marcos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cedillo]]></surname>
<given-names><![CDATA[Priscila]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Azuay  ]]></institution>
<addr-line><![CDATA[Cuenca ]]></addr-line>
<country>Ecuador</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Cuenca  ]]></institution>
<addr-line><![CDATA[Cuenca ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2020</year>
</pub-date>
<volume>11</volume>
<numero>1</numero>
<fpage>56</fpage>
<lpage>67</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&amp;pid=S1390-65422020000100056&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_abstract&amp;pid=S1390-65422020000100056&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_pdf&amp;pid=S1390-65422020000100056&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La detección de valores atípicos en el campo de la minería de datos (DM) y el descubrimiento de conocimiento a partir de datos (KDD) es de gran interés en áreas que requieren sistemas de soporte a la toma de decisiones, como, por ejemplo, en el área financiera, en donde mediante DM se pueden detectar fraudes financieros o encontrar errores producidos por los usuarios. Entonces, es esencial, evaluar la veracidad de la información, a través de métodos de detección de comportamientos inusuales en los datos. Este artículo propone un método para detectar valores que se consideran valores atípicos en una base de datos de datos de tipo nominal. El método implementa un algoritmo global de &#8220;k&#8221; vecinos más cercanos, un algoritmo de agrupamiento denominado k-means y un método estadístico denominado chi-cuadrado. La aplicación de estas técnicas ha sido implementada sobre una base de datos de clientes que han solicitado un crédito financiero. El experimento se realizó sobre un conjunto de datos con 1180 tuplas, en donde, deliberadamente se introdujeron valores atípicos. Los resultados demostraron que el método propuesto es capaz de detectar todos los valores atípicos introducidos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The detection of outliers in the field of data mining (DM) and the process of knowledge discovery in databases (KDD) is of great interest in areas that require support systems for decision making. A straightforward application can be found in the financial area, where DM can potentially detect financial fraud or find errors produced by the users. Thus, it is essential to evaluate the veracity of the information, through the use of methods for the detection of unusual behaviors in the data. This paper proposes a method to detect values &#8203;&#8203;that are considered outliers in a database of nominal type data. The method implements a global algorithm of "k" closest neighbors, a clustering algorithm called k-means and a statistical method called chi-square. These techniques have been implemented on a database of clients who have requested a financial credit. The experiment was performed on a data set with 1180 tuples, where, outliers were deliberately introduced. The results showed that the proposed method is able to detect all the outliers entered.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[valor atípico]]></kwd>
<kwd lng="es"><![CDATA[minería de datos]]></kwd>
<kwd lng="es"><![CDATA[KNN]]></kwd>
<kwd lng="es"><![CDATA[chi-cuadrado]]></kwd>
<kwd lng="es"><![CDATA[fraude financiero.]]></kwd>
<kwd lng="en"><![CDATA[outlier]]></kwd>
<kwd lng="en"><![CDATA[data mining]]></kwd>
<kwd lng="en"><![CDATA[KNN]]></kwd>
<kwd lng="en"><![CDATA[chi-square]]></kwd>
<kwd lng="en"><![CDATA[financial fraud]]></kwd>
</kwd-group>
</article-meta>
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