Zobrazeno 1 - 10
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pro vyhledávání: '"Adams, Jan"'
Autor:
Berti, Alessandro, Koren, Istvan, Adams, Jan Niklas, Park, Gyunam, Knopp, Benedikt, Graves, Nina, Rafiei, Majid, Liß, Lukas, Unterberg, Leah Tacke Genannt, Zhang, Yisong, Schwanen, Christopher, Pegoraro, Marco, van der Aalst, Wil M. P.
Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM techniques. OCEL 2.0 forms the new, more expressive standard, allowing for
Externí odkaz:
http://arxiv.org/abs/2403.01975
Autor:
Adams, Jan Niklas, Peeperkorn, Jari, Brockhoff, Tobias, Terrier, Isabelle, Göhner, Heiko, Uysal, Merih Seran, Broucke, Seppe vanden, De Weerdt, Jochen, van der Aalst, Wil M. P.
Process discovery algorithms learn process models from executed activity sequences, describing concurrency, causality, and conflict. Concurrent activities require observing multiple permutations, increasing data requirements, especially for processes
Externí odkaz:
http://arxiv.org/abs/2310.11332
Processes tend to interact with other processes and operate on various objects of different types. These objects can influence each other creating dependencies between sub-processes. Analyzing the conformance of such complex processes challenges trad
Externí odkaz:
http://arxiv.org/abs/2305.05113
Traditional process mining techniques take event data as input where each event is associated with exactly one object. An object represents the instantiation of a process. Object-centric event data contain events associated with multiple objects expr
Externí odkaz:
http://arxiv.org/abs/2209.01219
The execution of processes leaves traces of event data in information systems. These event data can be analyzed through process mining techniques. For traditional process mining techniques, one has to associate each event with exactly one object, e.g
Externí odkaz:
http://arxiv.org/abs/2208.03235
Publikováno v:
LNCS 13607 (2022) 281-292
Performance analysis in process mining aims to provide insights on the performance of a business process by using a process model as a formal representation of the process. Such insights are reliably interpreted by process analysts in the context of
Externí odkaz:
http://arxiv.org/abs/2204.10662
Traditional process mining considers only one single case notion and discovers and analyzes models based on this. However, a single case notion is often not a realistic assumption in practice. Multiple case notions might interact and influence each o
Externí odkaz:
http://arxiv.org/abs/2110.05375
Autor:
Adams, Jan Niklas, van Zelst, Sebastiaan J., Quack, Lara, Hausmann, Kathrin, van der Aalst, Wil M. P., Rose, Thomas
Rapidly changing business environments expose companies to high levels of uncertainty. This uncertainty manifests itself in significant changes that tend to occur over the lifetime of a process and possibly affect its performance. It is important to
Externí odkaz:
http://arxiv.org/abs/2105.13155
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2023 125
