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On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes.

, , и . ICEIS (1), стр. 206-217. SciTePress, (2015)

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Luigi Sportelli

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Luigi Poisson

 

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Combining Different Data Mining Techniques to Improve Data Analysis., , и . FQAS, том 7 из Advances in Soft Computing, стр. 455-464. Physica-Verlag Heidelberg New York, A Springer-Verlag Company, (2000)Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements., , и . IEEE Trans. Knowl. Data Eng., 22 (12): 1649-1663 (2010)An approach for the extensional integration of data sources with heterogeneous representation formats., , и . Data Knowl. Eng., 45 (3): 291-331 (2003)Business Process Deviance Mining., и . Encyclopedia of Big Data Technologies, Springer, (2019)Exploiting structural similarity for effective Web information extraction., , , , и . Data Knowl. Eng., 60 (1): 222-234 (2007)Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs., и . Business Process Management Workshops, том 362 из Lecture Notes in Business Information Processing, стр. 5-11. Springer, (2019)Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction., , , и . Data Knowl. Eng., 70 (12): 1005-1029 (2011)A novel three-level architecture for large data warehouses., , , и . J. Syst. Archit., 47 (11): 937-958 (2002)Deviance-Aware Discovery of High-Quality Process Models., , , и . Int. J. Artif. Intell. Tools, 27 (7): 1860009:1-1860009:27 (2018)On the Interpretation of Traces of Low Level Events in Business Process Logs., , , , и . SEBD, том 2161 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)