Today, process schemes are required for a lot of purposes. Extracting process schemes from event-based data is an alternative to creating them manually. Process Miner is a research prototype that can extract process schemes from event-based data. Its extracting procedure is a multistage data mining that uses a special process model. This paper outlines the main features of the tool and gives an insight into the theoretical background. Also, it describes shortly its implementation and outlines its experimental evaluation. © 2002 Springer-Verlag.
CITATION STYLE
Schimm, G. (2002). Process miner - A tool for mining process schemes from event-based data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2424 LNAI, pp. 525–528). Springer Verlag. https://doi.org/10.1007/3-540-45757-7_47
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