The International Conference on Process Mining (ICPM) is the premium forum for researchers, practitioners and developers in process mining. The objective is to explore and exchange knowledge in this field through scientific talks, industry discussions, contests, technical tutorials and panels. The conference covers all aspects of process mining research and practice, including theory, algorithmic challenges, applications and connections with other fields.Process mining is an innovative research field that focuses on extracting business process insights from transactional data commonly recorded by IT systems, with the ultimate goal of analyzing and improving organizational productivity along performance dimensions such as efficiency, quality, compliance, and risk. By relying on data rather than perceptions gained from interviews and workshops, process mining shifts the way of thinking from “confidence-based” to “evidence-based” business process management. Thus, process mining distinguishes itself within the information systems domain by its fundamental focus on understanding, analyzing, and improving business processes based on process data.Current process mining challenges include scalability, i.e., dealing with volume, velocity, veracity and variability of input data, especially in real-time/online settings using event streams; approximation, i.e., balancing computation time with accuracy; understandability and explainability, i.e., providing easy-to-understand and explainable analytics; multi-perspective analysis, i.e., considering data, resources and time beyond the process control flow; measurability, e.g., providing a comprehensive framework for measuring differences between observed and modelled process behavior, and ethical and confidential aspects of process mining, i.e., how to ensure that process mining procedures and results do not violate ethical and privacy principles.
Guest editors:
Assist. Prof. Arik Senderovich (Executive Guest Editor)York University, Toronto, CanadaEmail: sariks@yorku.caAreas of Expertise: Process mining, Operations research, Business process management
Assoc. Prof. Andrea MarrellaSapienza University of Rome, Rome, ItalyEmail: marrella@diag.uniroma1.itAreas of Expertise: Process Mining, Robotic Process Automation, Automated Planning in AI, Reasoning about actions
Assoc. Prof. Claudio Di CiccioUtrecht University, Utrecht, NetherlandsEmail: c.diciccio@uu.nlAreas of Expertise: Process mining, formal methods, automated reasoning, blockchain technologies
Prof. Stefanie Rinderle-MaTechnical University of Munich, Garching, GermanyEmail: stefanie.rinderle-ma@tum.deAreas of Expertise: Information Systems, Business Process Management, Process Science
Prof. Jorge Munoz-GamaPontificia Universidad Católica de Chile, Santiago de Chile, CHILEEmail: jmun@uc.clAreas of Expertise: Process Mining, Process Science, Business Process Management
Manuscript submission information:
Tentative Dates:
Submission Open Date: March 1, 2024
Submission Deadline: March 27, 2024
Editorial Acceptance Deadline: January 22, 2025