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Updated: Feb 14, 2026

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Methodology for Evaluating Process Mining Tools in IoT Contexts.

Tilen Tratnjek1, Gregor Polančič1

  • 1Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000 Maribor, Slovenia.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary

Process mining tools struggle with complex Internet of Things (IoT) workflows. This study introduces a new evaluation method, revealing significant variations in tool usability and analytical support for IoT contexts.

Keywords:
IoTcomparative analysisprocess miningtask-based evaluation

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Area of Science:

  • Computer Science
  • Industrial Engineering

Background:

  • Internet of Things (IoT) environments are growing in scale and complexity, making system behavior difficult to understand.
  • Process mining can transform sensor data into process-level insights, but current tools are often ill-suited for IoT workflows.
  • Existing evaluations lack focus on usability and domain-specific analytical tasks for IoT.

Purpose of the Study:

  • To introduce a structured methodology for evaluating process mining tools in IoT contexts.
  • To assess the functional capabilities, usability, and analytical support of process mining tools for smart factory scenarios.
  • To identify strengths and weaknesses of current tools and inform better tool selection for IoT.

Main Methods:

  • A structured evaluation methodology combining functional capability assessment and task-based evaluation.
  • Utilized 13 representative questions from an IoT-oriented smart factory scenario.
  • Focused on clarity, ease of use, and support for context-specific analytical needs.

Main Results:

  • Significant variations in usability, effort, and analytical coverage were observed among the evaluated tools.
  • No single process mining tool fully addresses the diverse process-intelligence needs of IoT contexts.
  • Notable strengths and trade-offs exist, highlighting the need for careful tool selection.

Conclusions:

  • A structured, task-based evaluation methodology is crucial for assessing process mining tools in domain-specific settings like IoT.
  • Current process mining tools require further development to adequately support complex IoT analytical workflows.
  • Informed tool selection is essential for effectively leveraging process mining in IoT-driven environments.