BUSQUEDA DE CONOCIMIENTO EN PROCESOS INDUSTRIALES: CASO PRÁCTICO

Abstract

In this paper a methodology for discovering useful knowledge from time series from industrial processes is presented. The process consists on detecting useful patterns from time series and afterwards, searching frequent itemsets in order to obtain associations rules. A practical methodology application in an industrial process is showed. Keywords: Knowledge discovery in time series, industrial processes.