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Incremental Declarative Process Mining

  • Massimiliano Cattafi
  • Evelina Lamma
  • Fabrizio Riguzzi
  • Sergio Storari
Part of the Studies in Computational Intelligence book series (SCI, volume 260)

Abstract

Business organizations achieve their mission by performing a number of processes. These span from simple sequences of actions to complex structured sets of activities with complex interrelation among them. The field of Business Processes Management studies how to describe, analyze, preserve and improve processes. In particular the subfield of Process Mining aims at inferring a model of the processes from logs (i.e. the collected records of performed activities). Moreover, processes can change over time to reflect mutated conditions, therefore it is often necessary to update the model. We call this activity Incremental Process Mining. To solve this problem, we modify the process mining system DPML to obtain IPM (Incremental Process Miner), which employs a subset of the \(\mathcal{S}\)CIFF language to represent models and adopts techniques developed in Inductive Logic Programming to perform theory revision. The experimental results show that is more convenient to revise a theory rather than learning a new one from scratch.

Keywords

Business Processes Process Mining Theory Revision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Massimiliano Cattafi
    • 1
  • Evelina Lamma
    • 1
  • Fabrizio Riguzzi
    • 1
  • Sergio Storari
    • 1
  1. 1.ENDIFUniversità di FerraraFerraraItaly

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