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• W2725680205 abstract "Process discovery techniques aim at extracting a process model from an event log designed as a data structure that minimally contains a multi-set of event sequences. This paper studies the implications of applying newly developed methods and techniques in the field of process mining to reallife scenarios. The main problem consists in processing the collected data in order to use it for discovering the model of the observed process. The analysis of this problem revealed three main aspects: the need to properly represent the event data, to associate events to process instances and to determine the highlevel actions corresponding to the observed events. Each of these aspects has been investigated and a system architecture has been proposed based on their solution." @default.
• W2725680205 created "2017-07-14" @default.
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• W2725680205 creator A5087183974 @default.
• W2725680205 date "2017-05-01" @default.
• W2725680205 modified "2023-09-30" @default.
• W2725680205 title "Holistic Approach for Process Model Discovery" @default.
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• W2725680205 doi "https://doi.org/10.1109/cscs.2017.73" @default.
• W2725680205 hasPublicationYear "2017" @default.
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