Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Decomposed Process Discovery and Conformance Checking

Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_95-1

Definition

Decomposed process discovery and decomposed conformance checking are the corresponding variants of the two monolithic fundamental problems in process mining (van der Aalst 2011): automated process discovery, which considers the problem of discovering a process model from an event log (Leemans 2009), and conformance checking, which addresses the problem of analyzing the adequacy of a process model with respect to observed behavior (Munoz-Gama 2009), respectively.

The term decomposed in the two definitions is mainly describing the way the two problems are tackled operationally, to face their computational complexity by splitting the initial problem into smaller problems, that can be solved individually and often more efficiently.

Overview

The input for process discovery is an event log (Mendling and Dumas 2009), from which a process model (typically a Petri net Murata 1989) needs to be produced. The input for conformance checking is an event log and a process model (again,...

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Universitat Politècnica de CatalunyaBarcelonaSpain

Section editors and affiliations

  • Marlon Dumas
    • 1
  • Matthias Weidlich
  1. 1.Institute of Computer ScienceUniversity of TartuTartuEstonia