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ICPM 2027: International Conference on Process Mining

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Submission Date:
2026-09-04
Notification Date:
2026-11-04
Conference Date:
2027-02-08
Location:
Rende, Italy
Years:
ICORE: B   Viewed: 15021   Tracked: 2   Attend: 1

Conference Partner Index (CP-I)

58.1 / 100
Ranked #653 of 5,650 conferences · Top 12%
Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
59
Community attention (10%)
28
Public record completeness (15%)
55

Inputs used: Listed as ICORE B · Editions on record: 8 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 9

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-04

Call For Papers

ICPM 2027 (International Conference on Process Mining) is a ICORE B conference held in Rende, Italy on 2027-02-08. The paper submission deadline is 2026-09-04. Acceptance notifications are sent on 2026-11-04.

The International Conference on Process Mining (ICPM) is the premier international venue for researchers and professionals working in the field of process mining. It promotes a vibrant exchange of ideas and expertise through scientific presentations, interactive industry sessions, live challenges, practical tutorials, and expert-led panels. ICPM addresses the full spectrum of process mining research and practice, spanning theoretical progress, algorithmic research, real-world impact and applications, and interdisciplinary links with areas such as machine learning, data science, and operations management. Supported by the IEEE Task Force on Process Mining, ICPM stands at the forefront of innovation in process mining research and practice. Process mining reshapes the way organizations explore, analyze, and optimize their operational processes by deriving insights from transactional data stored in information systems. This evidence- driven approach allows organizations to improve their processes across critical dimensions, including efficiency, quality, compliance, and risk management. By moving beyond traditional assumption-based methods toward data-driven decision-making, process mining opens new avenues for advancing business process management. Topics for Research Papers ICPM 2027 welcomes rigorous contributions spanning both technical and empirical process mining research, aiming to advance the state of the art and expand existing knowledge in the field. Submissions should explicitly articulate their original contributions and novelty. Submissions are encouraged to provide an evaluation appropriate to their contribution. This may involve theoretical demonstrations and examples (for conceptual and theoretical work), quantitative or comparative analysis (for technical work), or evidence of practical relevance such as case studies or newly collected data (for empirical work). Studies utilizing novel, unpublished datasets are particularly welcomed. Research using existing datasets must emphasize the novelty of the analysis or its unprecedented results. To enhance transparency, reproducibility, and replicability, authors are strongly encouraged to provide supplementary resources, such as used datasets, publicly accessible implementations, and experimental packages for empirical studies. For more details, please consult the Open Science Principles section below. Selected accepted papers may be invited for an extended and revised publication in a special issue of the flagship journal Process Science (https://link.springer.com/journal/44311). ICPM 2027 welcomes submissions across a broad spectrum of topics, including but not limited to: Technical Research in Process Mining ● Novel process mining methods and techniques for: ○ Event log building and preprocessing ○ Process discovery ○ Conformance checking ○ Performance analysis ○ Comparative process mining ○ Predictive and prescriptive process monitoring ○ Action-oriented process mining ● Formal foundations of process mining ● Conceptual models related to process mining ● Process mining visualizations Empirical Research in Process Mining ● Case studies and applications ● Experiments involving process mining methods and techniques ● Human-in-the-loop studies ● Survey- and interview-based studies
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