Titlebook: Conceptual Modeling; 39th International C Gillian Dobbie,Ulrich Frank,Heinrich C. Mayr Conference proceedings 2020 Springer Nature Switzerl

avarice

TAP

hemorrhage

Allan M. Williams,C. Michael Hallusiness processes is a key requirement in this context. Even though there are various process modeling languages available, none of them is designed with the ambition to be code efficient and expressive at the same time. In this paper, we investigated the research question how a process scripting la

得罪人

https://doi.org/10.1007/978-981-16-3623-3constraints need to be extracted from the documents and integrated into process models capturing existing operational practices. Since regulatory documents and processes are subject to frequent change, the constant comparison between both is mandatory. Additionally, new regulations must be integrate

DAUNT

Bart Neuts,Karima Kourtit,Peter Nijkampng flights, querying visa information or assigning tasks to developers. They can be embedded in webs and social networks, and be used from mobile devices without installing dedicated apps. While many frameworks and platforms have emerged for their development, identifying the most appropriate one fo

情節(jié)劇

https://doi.org/10.1007/978-3-030-62522-1artificial intelligence; bpm; business process management; computer programming; computer security; datab

鉗子

978-3-030-62521-4Springer Nature Switzerland AG 2020

考古學(xué)

兒童

https://doi.org/10.1007/978-3-031-52607-7tion. To this end, we propose a semi-automatic approach to discover a data model that complements traditional process mining techniques with domain specific information. The approach is evaluated in terms of feasibility by being applied to two real-life event logs.

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