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...

• Type: Conference
• Year: 2009
• Where: BPM
• Authors: Christian W. Günther, Anne Rozinat, Wil M. P. van der Aalst
• Keywords: BPM 2009, Business, Process Mining, Process Mining Techniques, Process Models