Visual Analytics Meets Process Mining: Challenges and Opportunities

Silvia Miksch, Claudio Di Ciccio, Pnina Soffer, Barbara Weber

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Visual Analytics (VA) integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. In other words, VA is the science of analytical reasoning facilitated by interactive interfaces, capturing the information discovery process while keeping humans in the loop. Process Mining (PM) is a data-driven and process-centric approach that aims to extract information and knowledge from event logs to discover, monitor, and improve processes in various application domains. The combination of interactive visual data analysis and exploration with PM algorithms can make complex information structures more comprehensible and facilitate new insights. Yet, this combination remains largely unexplored. In this article, we illustrate the concepts of VA and PM, how their combination can support the extraction of more insights from complex event data, and elaborate on the challenges and opportunities for analyzing process data with VA methods and enhancing VA methods using PM techniques.
Original languageEnglish
Pages (from-to)132-141
Number of pages10
JournalIEEE Computer Graphics and Applications
Volume44
Issue number6
DOIs
Publication statusPublished - 7 Jan 2025

Bibliographical note

Publisher Copyright:
© 1981-2012 IEEE.

Keywords

  • Process mining
  • Visual analytics

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