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Knowledge-Based Trace Abstraction for Semantic Process Mining

  • Stefania MontaniEmail author
  • Manuel Striani
  • Silvana Quaglini
  • Anna Cavallini
  • Giorgio Leonardi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10259)

Abstract

Many hospital information systems nowadays record data about the executed medical process instances in the form of traces in an event log. In this paper we present a framework able to convert actions found in the traces into higher level concepts, on the basis of domain knowledge. Abstracted traces are then provided as an input to semantic process mining. The approach has been tested in stroke care, where we show how the abstraction mechanism allows the user to mine process models that are easier to interpret, since unnecessary details are hidden, but key behaviors are clearly visible.

References

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Stefania Montani
    • 1
    Email author
  • Manuel Striani
    • 2
  • Silvana Quaglini
    • 3
  • Anna Cavallini
    • 4
  • Giorgio Leonardi
    • 1
  1. 1.DISIT, Computer Science InstituteUniversità del Piemonte OrientaleAlessandriaItaly
  2. 2.Department of Computer ScienceUniversità di TorinoTurinItaly
  3. 3.Department of Electrical, Computer and Biomedical EngineeringUniversità di PaviaPaviaItaly
  4. 4.I.R.C.C.S. Fondazione “C. Mondino” - on Behalf of the Stroke Unit Network (SUN) Collaborating CentersPaviaItaly

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