<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hugo Armando Ordóñez Erazo</style></author><author><style face="normal" font="default" size="100%">Christian Nicolás Figueroa Martínez</style></author><author><style face="normal" font="default" size="100%">Juan Carlos Corrales</style></author><author><style face="normal" font="default" size="100%">Mauricio Morisio</style></author><author><style face="normal" font="default" size="100%">Leandro Krug Wives</style></author><author><style face="normal" font="default" size="100%">Carlos Alberto Cobos Lozada</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Business process indexing based on similarity of execution cases</style></title><secondary-title><style face="normal" font="default" size="100%">EATIS '14 Proceedings of the 7th Euro American Conference on Telematics and Information Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dl.acm.org/citation.cfm?id=2590664</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><isbn><style face="normal" font="default" size="100%"> 978-1-4503-2435-9</style></isbn><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style=&quot;font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12.8000001907349px;&quot;&gt;This paper presents&amp;nbsp;&lt;/span&gt;&lt;i style=&quot;font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12.8000001907349px;&quot;&gt;EC-Indexer&lt;/i&gt;&lt;span style=&quot;font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12.8000001907349px;&quot;&gt;&amp;nbsp;a new approach for Business Process indexing based on execution traces extracted from event-log files. Additionally, a tool implementing the proposed similarity mechanism was developed in order to evaluate the effectiveness by common measures as precision, recall, and f-measure. The results showed that even when the&amp;nbsp;&lt;/span&gt;&lt;i style=&quot;font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12.8000001907349px;&quot;&gt;EC-Indexer&lt;/i&gt;&lt;span style=&quot;font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 12.8000001907349px;&quot;&gt;&amp;nbsp;approach scored low values of recall, it could reach high values of precision while reducing the execution time.&lt;/span&gt;&lt;/p&gt;
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