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Best ICPM 2023 workshop papers.

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Title: Best ICPM 2023 workshop papers.
Authors: De Smedt, Johannes1 (AUTHOR) johannes.desmedt@kuleuven.be, Soffer, Pnina2 (AUTHOR) spnina@is.haifa.ac.il
Source: Journal of Intelligent Information Systems. Jun2026, Vol. 64 Issue 3, p937-940. 4p.
Subjects: Process mining, Conference papers, Forums, Academic-industrial collaboration, Process optimization
Abstract: Process mining has become a well-established discipline, engaged with analyzing event log data for representing, optimizing, and gaining insights about business processes. The International Conference on Process Mining (ICPM) is the flagship conference in this area. It functions as a convergence point for process mining researchers, practitioners, and tool vendors representing diverse spheres, including academia and industry. This forum facilitates collaborative exploration and discussion concerning the latest advancements in process mining research and practice, encompassing theoretical frameworks, algorithmic innovations, and practical application challenges. The ICPM conference series has garnered notable research contributions of exceptional quality, evidencing the collaborative endeavors of esteemed scholars and industrial researchers. Alongside the main conference, ICPM features workshops, each characterized by a distinct and focused scope, collectively presenting a diverse array of outstanding research ideas still in their nascent stages, coupled with exemplary paper presentations. These workshops create an intellectually stimulating forum for rigorous discussions and interactions within the broader academic and industrial community. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligent Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Process mining has become a well-established discipline, engaged with analyzing event log data for representing, optimizing, and gaining insights about business processes. The International Conference on Process Mining (ICPM) is the flagship conference in this area. It functions as a convergence point for process mining researchers, practitioners, and tool vendors representing diverse spheres, including academia and industry. This forum facilitates collaborative exploration and discussion concerning the latest advancements in process mining research and practice, encompassing theoretical frameworks, algorithmic innovations, and practical application challenges. The ICPM conference series has garnered notable research contributions of exceptional quality, evidencing the collaborative endeavors of esteemed scholars and industrial researchers. Alongside the main conference, ICPM features workshops, each characterized by a distinct and focused scope, collectively presenting a diverse array of outstanding research ideas still in their nascent stages, coupled with exemplary paper presentations. These workshops create an intellectually stimulating forum for rigorous discussions and interactions within the broader academic and industrial community. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Intelligent Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10844-026-01053-8
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        Text: English
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              Text: Jun2026
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