Multi-paradigm process mining: Retrieving better models by combining rules and sequences

Johannes De Smedt*, Jochen De Weerdt, Jan Vanthienen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows. The discovery and representation of these models is based on techniques that come in all shapes and forms. Most notably, procedurally-based algorithms such as Heuristics Miner have been used successfully for this purpose. Also, declarative process model miners have been proposed, which give other insights into the model by generating rules that apply on the activities. This paper proposes an integrated approach to combining these paradigms to discover process models that contain best of both worlds to enrich insights into the event logs under scrutiny.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems
Subtitle of host publicationOTM 2014 Conferences
EditorsR Meersman, H Panetto, T Dillon, M Missikoff, L Liu, O Pastor, A Cuzzocrea, T Sellis
PublisherSpringer-Verlag Berlin Heidelberg
Pages446-453
Number of pages8
ISBN (Print)978-3-662-45562-3
Publication statusPublished - 2014
EventOn The Move (OTM) Event - Amantea, Italy
Duration: 27 Oct 201431 Oct 2014

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume8841
ISSN (Print)0302-9743

Conference

ConferenceOn The Move (OTM) Event
Country/TerritoryItaly
Period27/10/1431/10/14

Keywords

  • business process mining
  • mixed-paradigm mining
  • causal nets
  • declare

Fingerprint

Dive into the research topics of 'Multi-paradigm process mining: Retrieving better models by combining rules and sequences'. Together they form a unique fingerprint.

Cite this