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Learning the control-flow of a business process using ICN-based process models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5900 LNCS 346-351
DOI: 10.1007/978-3-642-10383-4_23
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Abstract

In this paper, we present a process mining algorithm that discovers Activity Precedence Graphs (APG), which are control-flow models in the Generalized Information Control Net (ICN) family of models. Unlike many other control-flow models discovered by process mining algorithms, APGs can be integrated with other business process perspectives. © 2009 Springer-Verlag Berlin Heidelberg.

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APA

Rembert, A. J., & Ellis, C. (2009). Learning the control-flow of a business process using ICN-based process models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5900 LNCS, pp. 346–351). https://doi.org/10.1007/978-3-642-10383-4_23

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