FairLoop distills predictive neural models into editable decision trees, lets users cut out unfair rules, and fine-tunes the model on corrected labels for business process monitoring.
Recent Advances in Data-Driven Business Process Management
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abstract
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since business processes are at the core of organizational work, these developments heavily impact BPM as a crucial success factor for organizations. In view of this emerging potential, data-driven business process management has become a relevant and vibrant research area. Given the complexity and interdisciplinarity of the research field, this position paper therefore presents research insights regarding data-driven BPM.
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cs.LG 1years
2025 1verdicts
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FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring
FairLoop distills predictive neural models into editable decision trees, lets users cut out unfair rules, and fine-tunes the model on corrected labels for business process monitoring.