Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials-Reference-Cited by-同舟云学术

Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials

Published:2021 Issue: Volume: Page:19-33
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:
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Author:

Shilov Nikolay^ORCID,Othman Walaa^ORCID,Fellmann Michael^ORCID,Sandkuhl Kurt^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91279-6_2

Reference47 articles.

1. Riss, U.V., Maus, H., Javaid, S., Jilek, C.: Digital twins of an organization for enterprise modeling. In: PoEM 2020: The Practice of Enterprise Modeling. Lecture Notes in Business Information Processing. Springer, pp. 25–40 (2020)

2. Lecture Notes in Business Information Processing;A Fayoumi,2018

3. Awadid, A., Bork, D., Karagiannis, D., Nurcan, S.: Toward generic consistency patterns in multi-view enterprise modelling. In: ECIS 2018 Proceedings. AIS eLibrary, p. 146 (2018)

4. Snoeck, M., Stirna, J., Weigand, H., Proper, H.A.: Panel discussion: artificial intelligence meets enterprise modelling. In: The 12th IFIP Working Conference on The Practice of Enterprise Modeling, PoEM 2019. CEUR (2019)

5. Lecture Notes in Business Information Processing;B van Gils,2018

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