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 proceedingConference contributionAcademicpeer-review

61 Citations (Scopus)

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
Eventconference; DS 2002 -
Duration: 1 Jan 2002 → …

Publication series

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

Conference

Conferenceconference; DS 2002
Period1/01/02 → …
OtherDS 2002

Fingerprint

Dive into the research topics of 'Process mining: discovering direct successors in process logs'. Together they form a unique fingerprint.

Cite this