The performance spectrum miner: visual analytics for fine-grained performance analysis of processes

Vadim Denisov, Elena Belkina, Dirk Fahland, Wil M.P. van der Aalst

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

14 Citations (Scopus)
226 Downloads (Pure)

Abstract

We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses the performance spectrum as a simple model, that maps all observed flows between two process steps together regarding their performance over time, and can be applied for event logs of any kinds of processes. The tool computes and visualizes performance spectra of processes, and provides rich functionality to explore various performance aspects. The demo is aimed to make process mining practitioners familiar with the technique and tool, and engage them into applying this tool for solving their daily process mining-related tasks.

Original languageEnglish
Title of host publicationBPMTracks 2018
EditorsF. Casati
PublisherCEUR-WS.org
Pages96-100
Number of pages5
Publication statusPublished - Sept 2018
Event16th International Conference on Business Process Management (BPM 2018) - Sydney, Australia
Duration: 9 Sept 201814 Sept 2018
Conference number: 16
http://ceur-ws.org/Vol-2196/

Publication series

NameCEUR Workshop Proceedings
Volume2196
ISSN (Print)1613-0073

Conference

Conference16th International Conference on Business Process Management (BPM 2018)
Abbreviated titleBPM 2018
Country/TerritoryAustralia
CitySydney
Period9/09/1814/09/18
OtherDissertation Award, Demonstration, and Industrial Track at BPM
Internet address

Keywords

  • Performance analysis
  • Performance spectrum
  • Process mining

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