
10月20日 - 2025年10月24日
International Conference on Process Mining
暂无关注者。
概览
The 7th International Conference on Process Mining (ICPM 2025) will be held in Montevideo, Uruguay, from October 20 to October 24, 2025, at Facultad de Ingeniería (FING), Universidad de la República (UdelaR). This event is the leading global forum for process mining, bringing together researchers, practitioners, and developers, and marks the first time the conference is held in Latin America.
Call for Research Papers
The International Conference on Process Mining (ICPM) is the leading global forum for researchers, practitioners, and developers in process mining. ICPM 2025 will be held from October 20 to October 24, 2025, at Facultad de Ingeniería (FING), Universidad de la República (UdelaR) in Montevideo, Uruguay.
The conference covers theoretical advancements, algorithmic challenges, impactful applications, and interdisciplinary connections. It is co-sponsored by the IEEE Computational Intelligence Society.
Topics for Research Papers
ICPM 2025 invites groundbreaking contributions in both technical and empirical process mining research. Authors are encouraged to provide supplementary resources like datasets and implementations to enhance replicability.
Technical Research Areas:
- Process discovery
- Conformance checking
- Performance measurement
- Predictive and prescriptive process monitoring
- Comparative process analysis
- Formal foundations of process mining
- Conceptual models related to process mining
- Process mining visualizations
Empirical Research Areas:
- Case studies and applications
- Experiments involving process mining algorithms
- Humans-in-the-loop experiments
- Surveys
- Interview-based studies
Selected accepted papers may be invited for an extended and revised publication in a special issue of the journal Process Science.
Types of Contributions & Submission Instructions
-
Regular Research Papers
- Present completed research with clearly outlined contributions.
- Accepted papers will be presented in the main track and published in the conference proceedings.
- Length: Maximum of 8 pages.
- Format: Adhere to IEEE Computational Intelligence Society conference proceedings guidelines (8.5″ × 11″, two-column format). Templates for LaTeX and Word are available here.
-
Posters
- Present new ideas or ongoing work, and gather feedback.
- Poster papers will be reviewed but not published in the conference proceedings.
- Length: Maximum of 4 pages.
- Format: Use IEEE templates. Add "(Poster)" to the title.
Submission Guidelines
- All submissions must be original and not submitted elsewhere.
- Abstract submission is mandatory prior to paper submission.
- The use of AI-generated text must be disclosed in the acknowledgments section.
- Submissions must be made through the ICPM 2025 submission system: https://easychair.org/conferences/?conf=icpm2025 (ICPM 2025 track).
- All papers must be written in English.
Review Process
Each submission will be reviewed by at least one senior process committee member and two additional reviewers, followed by a discussion period.
Presentation and Copyright
At least one author of each accepted contribution must register for the conference, present their work, and sign a copyright release form.
Important Dates
- Abstract submission: May 15, 2025 (AoE) (mandatory)
- Paper submission: May 22, 2025 / May 29, 2025 (AoE)
- Notification: July 11, 2025 (AoE)
- Camera-ready: August 22, 2025 (AoE)
会议日期
Conference Date
2025年10月20日 → 2025年10月24日
投稿
(Workshops) Workshop proposal deadline
2025年2月14日
(Research Papers) Abstract submission
2025年5月15日
(Research Papers) Paper submission
2025年5月29日
通知
(Workshops) Workshop proposal notification
2025年3月7日
(Research Papers) Notification
2025年7月11日
(Journal First, Conference Second (J1C2)) J1C2 notification deadline
2025年8月8日
终稿
(Research Papers) Camera ready
2025年8月22日
(Workshops) Pre-workshop Camera-Ready Papers
2025年9月22日
(Demo Papers) Camera-Ready
2025年9月23日
其他日期
(Best PhD Thesis) Application submission deadline
2025年7月11日
- 2025年7月25日
(Workshops) Workshops
2025年10月20日
来源排名
来源: CORE2023
排名: B
研究领域: Data management and data science, Artificial intelligence