IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Process pattern discovery methods (PPDMs) have been developed with the primary goal of identifying patterns of interest to users. Existing PPDM approaches are predominantly unsupervised and tend to focus on a single dimension of interest, such as discovering frequent patterns. We present IMPresseD, an interactive tool for exploring process patterns leveraging a multi-dimensional notion of interest. IMPresseD is designed to identify patterns that align with complex analytical objectives, such as deriving process patterns that affect the process outcome. Incorporating an iterative and interactive approach, this tool collaborates with domain experts to enhance pattern discovery.
Originele taal-2Engels
TitelDoctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023
Subtitelco-located with the 5th International Conference on Process Mining (ICPM 2023) : Rome, Italy, October 27, 2023
RedacteurenJan Martijn E.M. van der Werf, Cristina Cabanillas, Francesco Leotta, Laura Genga
UitgeverijCEUR-WS.org
Aantal pagina's5
StatusGepubliceerd - 2023
Evenement5th International Conference on Process Mining, ICPM 2023 - Rome, Italië
Duur: 23 okt. 202327 okt. 2023

Publicatie series

NaamCEUR Workshop Proceedings
Volume3648
ISSN van elektronische versie1613-0073

Congres

Congres5th International Conference on Process Mining, ICPM 2023
Land/RegioItalië
StadRome
Periode23/10/2327/10/23

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