MODELO CLUSTERING PARA EL ANÁLISIS EN LA EJECUCIÓN DE PROCESOS DE NEGOCIO

Abstract

The work is based on the proposed clustering model to support decision making based on analysis of records in the execution o f
processes in organizations that implement BPM technologies. An investigation is conducted that includes the study of how to integrate a model based on a data mining algorithm to business processes and how, from the results of the implementation of processes, ca n generate knowledge to improve performance indicators in their implementation.
The proposal includes the creation of a tool based on the implementation of the clustering technique of data mining to find useful
knowledge. It is developed using open source technologies