Algorithm for the discovery of organizational model using CAUCE pipeline parallel pattern
DOI:
https://doi.org/10.21501/21454086.1969Keywords:
Organizational model, pipeline parallel patternAbstract
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.
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References
Wil van der Aalst, A.A., A. K. Alves de Medeiros, F. Arcieri, Thomas: et al., "Manifiesto sobre Minería de Procesos".
M. McCool, A.D.R., J. Reinders. "Structured Parallel Programming Patterns for Efficient Computation".
S.G. Cairós, "Paralelización de la obtención de datos de entrada del modelo de concentraciones de HYSPLIT", Serie de Notas Técnicas Digitales del Centro de Investigación Atmosférica de Izaña, 2009.
M. McCool, "Structured Parallel Programming", 2012.
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