Discovering Simulation Models

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Provided by: Eindhoven University of Technology
Topic: Big Data
Format: PDF
Process mining is a tool to extract non-trivial and useful information from process execution logs. These so-called event logs (also called audit trails, or transaction logs) are the starting point for various discovery and analysis techniques that help to gain insight into certain characteristics of the process. In this paper, the authors use a combination of process mining techniques to discover multiple perspectives (namely, the control-flow, data, performance, and resource perspective) of the process from historic data, and they integrate them into a comprehensive simulation model.
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