Abstract
Process mining techniques try to discover and analyse business processes from recorded process data. These data have to be structured in so called computer log files. If processes are supported by different computer systems, merging the recorded data into one log file can be challenging. In this paper we present a computational algorithm, based on the Artificial Immune System algorithm, that we developed to automatically merge separate log files into one log file. We also describe our implementation of this technique, a proof of concept application and a real life test case with promising results.
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Claes, J., Poels, G. (2012). Merging Computer Log Files for Process Mining: An Artificial Immune System Technique. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28108-2_9
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DOI: https://doi.org/10.1007/978-3-642-28108-2_9
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