Visual Analytics Meets Process Mining: Challenges and Opportunities

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.

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Publication Details

Journal
IEEE Computer Graphics and Applications
Published
2024-11-01
DOI
https://doi.org/10.1109/mcg.2024.3456916
Citations
13
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
3.24
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article

Visual Analytics Meets Process Mining: Challenges and Opportunities

Claudio Di Ciccio, Pnina Soffer, Silvia Miksch, Barbara Weber
13 citations
IEEE Computer Graphics and Applications
Data Visualization and Analytics
3.24
article

Visual Analytics Meets Process Mining: Challenges and Opportunities

Claudio Di Ciccio, Pnina Soffer, Silvia Miksch, Barbara Weber
article en
13 citations

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.

IEEE Computer Graphics and ApplicationsVol. 44(6)
TU Wien (AT), Utrecht University (NL), University of St.Gallen (CH), University of Haifa (IL)
Decent work and economic growth
Openalex Percentile: Top 7%
Data Visualization and Analytics
3.24
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Visual Analytics Meets Process Mining: Challenges and Opportunities — Claudio Di Ciccio, Pnina Soffer, et al. · IEEE Computer Graphics and Applications (2024) | TGRS Research Map | TGRS