Titlebook: Enterprise, Business-Process and Information Systems Modeling; 16th International C Khaled Gaaloul,Rainer Schmidt,Qin Ma Conference proceed

啞巴

Multidimensional Process Mining Using Process Cubesut by any process mining technique. This notion is related to the well-known OLAP (Online Analytical Processing) data cubes, adapting the OLAP paradigm to event data through .. This adaptation is far from trivial given the nature of event data which cannot be easily summarized or aggregated, conflic

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Enterprise, Business-Process and Information Systems Modeling16th International C

Nerve-Block

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Neue Wege der Wirtschaftsprüfung (1969)mentally show that it sacrifices little compared to algorithms that use the full event log, while it gains the ability to cope with event logs of 100,000,000 traces and processes of 10,000 activities.

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Quality Training in Gyn-Aesthetics,ts Declare constraints from both the log and the model to build matching constraints to efficiently reduce the number of possible mappings. The evaluation with an industry process model collection and simulated event logs demonstrates the effectiveness of the approach and its robustness towards non-conforming execution logs.

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Archipelago

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Role and Task Recommendation and Social Tagging to Enable Social Business Process Managementss instances. We first provide an overview of our framework, introducing the concepts of role and task recommendations, which are supported by social tagging. These mechanisms are then elaborated further by an example. Eventually, we discuss a prototype of our framework enabling collaborative process design and execution.

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