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A compression-based framework for the efficient analysis of business process logs.

, , , , and . SSDBM, page 6:1-6:12. ACM, (2015)

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Business Process Deviance Mining., and . Encyclopedia of Big Data Technologies, Springer, (2019)Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs., and . Business Process Management Workshops, volume 362 of Lecture Notes in Business Information Processing, page 5-11. Springer, (2019)Combining Different Data Mining Techniques to Improve Data Analysis., , and . FQAS, volume 7 of Advances in Soft Computing, page 455-464. Physica-Verlag Heidelberg New York, A Springer-Verlag Company, (2000)Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements., , and . IEEE Trans. Knowl. Data Eng., 22 (12): 1649-1663 (2010)Deviance-Aware Discovery of High-Quality Process Models., , , and . Int. J. Artif. Intell. Tools, 27 (7): 1860009:1-1860009:27 (2018)A novel three-level architecture for large data warehouses., , , and . J. Syst. Archit., 47 (11): 937-958 (2002)An approach for the extensional integration of data sources with heterogeneous representation formats., , and . Data Knowl. Eng., 45 (3): 291-331 (2003)Exploiting structural similarity for effective Web information extraction., , , , and . Data Knowl. Eng., 60 (1): 222-234 (2007)Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction., , , and . Data Knowl. Eng., 70 (12): 1005-1029 (2011)Argumentation Meets Process Mining: an Architecture for Log Interpretation., , , and . AI³@AI*IA, volume 3086 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)