RDM 2025 will focus on advancing methodologies and applications that bridge the gap between data mining innovations and trustworthy decision-making frameworks. We especially encourage submissions that address scalability, interpretability, and ethical considerations in large-scale, real-world decision systems. The workshop invites submissions on all topics related to data mining for reliable decision-making, including but not limited to:
Data mining algorithms for decision support systems
Data-centric interpretable models for decision-making
Uncertainty quantification in data-driven decisions
Fairness, safety, and explainability in decision models
Integration of domain knowledge with data mining pipelines for decision-making
Streaming data analysis for real-time decisions
Human-in-the-loop decision and interactive data mining
Ethical challenges and mitigation strategies in automated decision-making
Welcoming submissions on any additional topics related to trustworthy data mining approaches not covered aboveš