ALGORITMOS PARA EL DESCUBRIMIENTO DE PROCESOS. ESTADO DEL ARTE
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Publicado:
Apr 26, 2018
Palabras clave:
Process mining, process model, collaborative environments, artifacts scheme, relational schema.
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Resumen
Las técnicas de la minería de procesos permiten la extracción de conocimientos de diversas fuentes de información, el descubrimiento de modelos es una de las etapas que componen la minería de procesos. En esta etapa los algoritmos convencionales parten inicialmente de un registro de eventos y descubren modelos de procesos.En situaciones prácticas la mayoría de los casos contienen varios procesos que colaboran y en su mayoría se encuentran almacenados en bases de datos relacionales. En este sentido, algunos investigadores asumen que un proceso puede tener diferentes perspectivas, cada una de ellas con su propio espacio de estados, de esta forma han podido descubrir modelos de procesos en entornos colaborativos. En varias investigaciones se plantean diferentes métodos enfocados en el procesamiento de los datos en bases de datos relacionales, existen artículos donde se hace referencia a una técnica basada en identificar un modelo centrado en artefactos, partiendo de un esquema relacional obtenido de una base de datos. Las relaciones existentes en el esquema son extraídas y organizadas con el uso de algoritmos de grafos.
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Díaz Vasallo, A., Vázquez Alfonso, Y., López Pintado, O., & Velasteguí López, L. E. (2018). ALGORITMOS PARA EL DESCUBRIMIENTO DE PROCESOS. ESTADO DEL ARTE. Ciencia Digital, 1(2), 1-10. https://doi.org/10.33262/cienciadigital.v1i2.52
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Artículos
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1 Alves de Medeiros, A. K. (2006). Genetic Process Mining. Einhoven University of Technology.
2 Alves de Medeiros, A. K., Weijters, A. J. M. M., & van der Aalst, W. M. P. (2007). Genetic Process Mining: An Experimental Evaluation. DataMining and Knowledge Discovery. Einhoven University of Technology.
3 Chen, Q., & Hsu, M. (2001). Inter-Enterprise Collaborative Business Process Management. Proc. International Conference on Data Engineering (ICDE). Germany.
4 Dayal, U., Hsu, M., & Ladin, R. (2001). Business Process Coordination: State of the Art, Trends, and Open Issues. In VLDB (Vol. 1, pp. 3–13). Retrieved from http://www.vldb.org/conf/2001/P003.pdf
5 Deevakar, R. (2015). Process mining of medication revisions in electronic health records.
6 Di Ciccio, C., Macella, M., Scannapieco, M., Zardetto, D., & Catarci, T. (2011). MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. 1st International Symposium on Data-Driven Process Discovery and Analysis SIMPDA. Italy.
7 Díaz Vasallo, A. (2014). Algoritmo genético distribuido para el descubrimiento de procesos.
8 Dongen, V. B., Fahland, D., & Nooijen, E. H. (2012). Automatic Discovery of Data-Centric and Artifact-Centric Processes.
9 Fahland, D., Leoni, M. D., Dongen, V. B., & van der Aalst, W. M. P. (2011). Behavioral Conformance of Artifact-Centric Process Models.
10 Gunter, C. W., & van der Aalst, W. M. P. (2007). Fuzzy Mining: Adaptive Process Simplification Based on Multi-Perspective Metrics.
11 Jagadeesh, R. P., Bose, C., & van der Aalst, W. M. P. (2012). When process mining meets bioinformatics. Berlin.
12 López Pintado, O. (2015). Refinamiento Iterativo de Matrices Causales.
13 Lu, X. (2013). Artifact-Centric Log Extraction and Process Discovery.
14 Lu, X., Nagelkerke, M., van de Wiel, D., & Fahland, D. (2015). Discovering interacting artifacts from ERP systems (extended version). Retrieved from https://pdfs.semanticscholar.org/9f03/31ad41e9851c04730b60ba3bff3964634703.pdf
15 Mans, R. S., Schonenberg, M. H., Song, M., van der Aalst, W. M. P., & Bakker, P. J. M. (2009). Application of process mining in healthcare a case study in a dutch hospital. Berlin.
16 Peleg, M., Yeh, I., & Altman, R. B. (2002). Modelling biological processes using work ow and petri net models.
17 van der Aalst, W. M. P. (2000). Process-oriented Archquitectures for Electronic Commerce and Interorganizational Workflow. Information Systems.
18 van der Aalst, W. M. P. (2011). Process Mining. Discovery, Conformance and Enhancement of Business Processes. Berlin: Springer.
19 van der Aalst, W. M. P. (2015). Intra- and Inter-Organizational Process Mining: Discovering Processes Within and Between Organizations. Einhoven University of Technology.
20 van der Aalst, W. M. P., A. J.M.M., W., & Maruster, L. (2004). Workflowmining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering.
21 van der Aalst, W. M. P., Adriansyah, A., & Alves de Medeiros, A. K. (2011). Manifiesto sobre Minería de Procesos. IEEE Task Force on Process Mining. Retrieved from http://www.win.tue.nl/ieeetfpm
22 van Dongen, B. F. (2005). The ProM Framework: A New Era in Process Mining Tool Support.
23 van Eck, M. L., Sidorova, N., & van der Aalst, W. M. (2016a). Composite State Machine Miner: Discovering and Exploring Multi-perspective Processes. Retrieved from http://www.processmining.org/_media/blogs/pubs2016/compositestatemachineminer.pdf
24 van Eck, M. L., Sidorova, N., & van der Aalst, W. M. (2016b). Discovering and Exploring State-Based Models for Multi-perspective Processes. In International Conference on Business Process Management (pp. 142–157). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-319-45348-4_9
24 Weijters, A. J. M. M., van der Aalst, W. M. P., & Alves de Medeiros, A. K. (2006). Process Mining with Heuristics Miner Algorithm. BETA Working Paper Series. Einhoven University of Technology.
25 Zhao, X., & Liu, C. (2006). Tracking over Collaborative Business Processes. In Bussiness Process Management: 4th International Conference, BPM (pp. 30–48). Vienna: Springer. Retrieved from https://books.google.com.cu/books?id=3Yh9bdxeW1UC&pg=PA47&lpg=PA47&dq=discovery+collaborative+business+process+management%2Balgorithms&source=bl&ots=UqwwXCSSK9&sig=jyF-9t0VlmwIqCM_XzBrcUEvuqk&hl=es-419&sa=X&sqi=2&ved=0ahUKEwiVxpjNhJPSAhVq6oMKHdbBD0wQ6AEIaDAJ#v=onepage&q=discovery%20collaborative%20business%20process%20management%2Balgorithms&f=false
2 Alves de Medeiros, A. K., Weijters, A. J. M. M., & van der Aalst, W. M. P. (2007). Genetic Process Mining: An Experimental Evaluation. DataMining and Knowledge Discovery. Einhoven University of Technology.
3 Chen, Q., & Hsu, M. (2001). Inter-Enterprise Collaborative Business Process Management. Proc. International Conference on Data Engineering (ICDE). Germany.
4 Dayal, U., Hsu, M., & Ladin, R. (2001). Business Process Coordination: State of the Art, Trends, and Open Issues. In VLDB (Vol. 1, pp. 3–13). Retrieved from http://www.vldb.org/conf/2001/P003.pdf
5 Deevakar, R. (2015). Process mining of medication revisions in electronic health records.
6 Di Ciccio, C., Macella, M., Scannapieco, M., Zardetto, D., & Catarci, T. (2011). MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. 1st International Symposium on Data-Driven Process Discovery and Analysis SIMPDA. Italy.
7 Díaz Vasallo, A. (2014). Algoritmo genético distribuido para el descubrimiento de procesos.
8 Dongen, V. B., Fahland, D., & Nooijen, E. H. (2012). Automatic Discovery of Data-Centric and Artifact-Centric Processes.
9 Fahland, D., Leoni, M. D., Dongen, V. B., & van der Aalst, W. M. P. (2011). Behavioral Conformance of Artifact-Centric Process Models.
10 Gunter, C. W., & van der Aalst, W. M. P. (2007). Fuzzy Mining: Adaptive Process Simplification Based on Multi-Perspective Metrics.
11 Jagadeesh, R. P., Bose, C., & van der Aalst, W. M. P. (2012). When process mining meets bioinformatics. Berlin.
12 López Pintado, O. (2015). Refinamiento Iterativo de Matrices Causales.
13 Lu, X. (2013). Artifact-Centric Log Extraction and Process Discovery.
14 Lu, X., Nagelkerke, M., van de Wiel, D., & Fahland, D. (2015). Discovering interacting artifacts from ERP systems (extended version). Retrieved from https://pdfs.semanticscholar.org/9f03/31ad41e9851c04730b60ba3bff3964634703.pdf
15 Mans, R. S., Schonenberg, M. H., Song, M., van der Aalst, W. M. P., & Bakker, P. J. M. (2009). Application of process mining in healthcare a case study in a dutch hospital. Berlin.
16 Peleg, M., Yeh, I., & Altman, R. B. (2002). Modelling biological processes using work ow and petri net models.
17 van der Aalst, W. M. P. (2000). Process-oriented Archquitectures for Electronic Commerce and Interorganizational Workflow. Information Systems.
18 van der Aalst, W. M. P. (2011). Process Mining. Discovery, Conformance and Enhancement of Business Processes. Berlin: Springer.
19 van der Aalst, W. M. P. (2015). Intra- and Inter-Organizational Process Mining: Discovering Processes Within and Between Organizations. Einhoven University of Technology.
20 van der Aalst, W. M. P., A. J.M.M., W., & Maruster, L. (2004). Workflowmining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering.
21 van der Aalst, W. M. P., Adriansyah, A., & Alves de Medeiros, A. K. (2011). Manifiesto sobre Minería de Procesos. IEEE Task Force on Process Mining. Retrieved from http://www.win.tue.nl/ieeetfpm
22 van Dongen, B. F. (2005). The ProM Framework: A New Era in Process Mining Tool Support.
23 van Eck, M. L., Sidorova, N., & van der Aalst, W. M. (2016a). Composite State Machine Miner: Discovering and Exploring Multi-perspective Processes. Retrieved from http://www.processmining.org/_media/blogs/pubs2016/compositestatemachineminer.pdf
24 van Eck, M. L., Sidorova, N., & van der Aalst, W. M. (2016b). Discovering and Exploring State-Based Models for Multi-perspective Processes. In International Conference on Business Process Management (pp. 142–157). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-319-45348-4_9
24 Weijters, A. J. M. M., van der Aalst, W. M. P., & Alves de Medeiros, A. K. (2006). Process Mining with Heuristics Miner Algorithm. BETA Working Paper Series. Einhoven University of Technology.
25 Zhao, X., & Liu, C. (2006). Tracking over Collaborative Business Processes. In Bussiness Process Management: 4th International Conference, BPM (pp. 30–48). Vienna: Springer. Retrieved from https://books.google.com.cu/books?id=3Yh9bdxeW1UC&pg=PA47&lpg=PA47&dq=discovery+collaborative+business+process+management%2Balgorithms&source=bl&ots=UqwwXCSSK9&sig=jyF-9t0VlmwIqCM_XzBrcUEvuqk&hl=es-419&sa=X&sqi=2&ved=0ahUKEwiVxpjNhJPSAhVq6oMKHdbBD0wQ6AEIaDAJ#v=onepage&q=discovery%20collaborative%20business%20process%20management%2Balgorithms&f=false