Mining the Low-Level Behavior of Agents in High-Level Business Processes

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Provided by: Technical University of Kosice
Topic: Big Data
Format: PDF
Currently there is a gap between the high level of abstraction at which business processes are modeled and the low level nature of the events that are recorded during process execution. When applying process mining techniques, it is possible to discover the logic behind low-level events but it is difficult to determine the relationship between those low-level events and the high-level activities in a given process model. In this paper, the authors introduce a hierarchical Markov model to capture both the high-level behavior of activities and the low-level behavior of events.
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