Formulating the potentials of clustering of event data over multiple entities for decision support: a network embeddings approach-Reference-Cited by-同舟云学术

Formulating the potentials of clustering of event data over multiple entities for decision support: a network embeddings approach

Published:2023-09-28 Issue: Volume: Page:1-23
ISSN:1246-0125
Container-title:Journal of Decision Systems
language:en
Short-container-title:Journal of Decision Systems

Author:

Delias Pavlos¹^ORCID,Grigori Daniela²^ORCID

Affiliation:

1. Accounting and Finance Department, International Hellenic University, Kavala, Greece

2. University of Paris-Dauphine, Université PSL, Paris, France

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/12460125.2023.2263684

Reference44 articles.

1. Preserving complex object-centric graph structures to improve machine learning tasks in process mining

2. Adams, J.N., Schuster, D., Schmitz, S., Schuh, G., & Van der Aalst, W.M. (2022). Defining cases and variants for object-centric event data. In 2022 4th International Conference on Process Mining (ICPM) (pp. 128–135). Bolzano, Italy: IEEE.

3. Human resources analytics: A systematization of research topics and directions for future research

4. OC-PM: analyzing object-centric event logs and process models

5. Blevi, L., Delporte, L., & Robbrecht, J. (2017). Process mining on the loan application process of a Dutch financial institute. Bpi challenge, BPI Challenge.

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