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Process mining: discovering direct successors in process logs

  • L. Maruster
  • , A.J.M.M. Weijters
  • , W.M.P. Aalst, van der
  • , A.P.J. Bosch, van den

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Workflow management technology requires the existence of explicit process models, i.e. a completely specified workflow design needs to be developed in order to enact a given workflow process. Such a workflow design is time consuming and often subjective and incomplete. We propose a learning method that uses the workflow log, which contains information about the process as it is actually being executed. In our method we will use a logistic regression model to discover the direct connections between events of a realistic not complete workflow log with noise. Experimental results are used to show the usefulness and limitations of the presented method.
Original languageEnglish
Title of host publicationDiscovery Science : 5th International Conference, DS 2002, Lübeck, Germany, November 24-26.
EditorsS. Lange, K. Satoh, C.H. Smith
Place of PublicationBerlin, Germany
PublisherSpringer
Pages364-373
DOIs
Publication statusPublished - 2002
Event5th International Conference on Discovery Science (DS 2002) - Lübeck, Germany
Duration: 24 Nov 2002 → 26 Nov 2002

Publication series

NameLecture Notes in Computer Science
Volume2534
ISSN (Print)0302-9743

Conference

Conference5th International Conference on Discovery Science (DS 2002)
Country/TerritoryGermany
CityLübeck
Period24/11/02 → 26/11/02

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