Abstract
Process mining is impossible without proper event logs. This chapter describes the information that should be present in such event logs. Depending on the process mining technique used, these requirements may vary. The challenge is to extract such data from a variety of data sources, e.g., databases, flat files, message logs, transaction logs, ERP systems, and document management systems. When merging and extracting data, both syntax and semantics play an important role. Moreover, depending on the questions one seeks to answer, different views on the available data are needed.
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Notes
- 1.
In the remainder, we assume # trace (c)≠〈 〉, i.e., traces in a log contain at least one event.
- 2.
Note that we still assume that each trace contains at least one element, i.e., σ∈L implies σ≠〈 〉.
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van der Aalst, W.M.P. (2011). Getting the Data. In: Process Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19345-3_4
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DOI: https://doi.org/10.1007/978-3-642-19345-3_4
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