Algoritmo para el descubrimiento del modelo organizacional utilizando el patrón paralelo segmentación de cauce

Abstract

The progress made with the information technology and communications have resulted in a growth of all data stored and / or exchanged electronically. The process mining techniques are able to extract knowledge from the common-mind records events available in the current information systems. Likewise, parallel processing is a type of information processing, which allows multiple processes to run concurrently, achieving impressive powers of calculation. The work presented below is an algorithm design process mining Organizational Miner using the pipeline parallel pattern, according to its design operations in sequential run independently. The experiments conducted and results obtained with non-parametric tests Mann-Whitney hypothesis that the proposed solution yield decreases execution times relative to its sequential variant.