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blogs:pub2010:activity_mining_by_global_trace_segmentation [2011/05/03 12:40] (current)
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 +====== Activity Mining by Global Trace Segmentation ======
 +C.W. Gunther, A. Rozinat and W.M.P. van der Aalst\\
 +//In S. Rinderle-Ma,​ S. Sadiq & F. Leymann (Eds.), Business Process Management Workshops (BPM 2009 International Workshops, Ulm, Germany, September 7, 2009. Revised papers). (Lecture Notes in Business Information Processing, Vol. 43, pp. 128-139). Berlin: Springer (DOI 10.1007/​978-3-642-12186-9_13)
 +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 would have 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 process.
 +[[http://​alexandria.tue.nl/​campusonly/​Metis238164.pdf|Download PDF]] (579 KB)