Abstract
The idea underpinning process mining techniques is that most business processes that are executed with the support of an information system, leave traces of their activity executions and this information, which is stored in the so-called “log files”. The aim of process mining is indeed to discover, starting from these logs, as much information as possible. In particular, control-flow discovery aspire to synthesizing a business process model out of data.
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“Siav is a software development and IT services company specialized in electronic documents management. It is an industry specialist in Italy with over 250 people employed and around 3000 installations”. From http://www.siav.com/.
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Burattin, A. (2015). Data Preparation. In: Process Mining Techniques in Business Environments. Lecture Notes in Business Information Processing, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-319-17482-2_10
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DOI: https://doi.org/10.1007/978-3-319-17482-2_10
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