Activity Mining by Global Trace Segmentation

13 years 11 months ago
Activity Mining by Global Trace Segmentation
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discover a process model describing the causal dependencies between activities . Unfortunately, the quality of a discovered process model strongly depends on the quality and suitability of the input data. For example, the logs of many real-life systems do not refer to the activities an analyst ve in mind, but are on a much more detailed level of abstraction. Trace segmentation attempts to group low-level events into clusters, which represent the execution of a higher-level activity in the (available or imagined) process meta-model. As a result, the simplified log can be used to discover better process models. This paper presents a new activity mining approach based on global trace segmentation. We also present an implementation of the approach, and we validate it using a real-life event log from ASML’s test proce...
Christian W. Günther, Anne Rozinat, Wil M. P.
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where BPM
Authors Christian W. Günther, Anne Rozinat, Wil M. P. van der Aalst
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