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Learning the Control-Flow of a Business Process Using ICN-Based Process Models

  • Aubrey J. Rembert
  • Clarence (Skip) Ellis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5900)

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.

Keywords

Process Mining Parent Graph Hide Activity Family Graph Split Activity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Aubrey J. Rembert
    • 1
  • Clarence (Skip) Ellis
    • 2
  1. 1.IBM T.J. Watson Research CenterHawthorneUSA
  2. 2.Department of Computer ScienceUniversity of Colorado at BoulderBoulderUS

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