Anomaly detection method for business processes based on enhanced complex scenario logs

Yang Song, Ruoyuan Zhang

Open source

DOI: 10.3389/frai.2026.1819095
Published: 2026-08-27
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1819095,
  title = {Anomaly detection method for business processes based on enhanced complex scenario logs},
  author = {Yang Song and Ruoyuan Zhang},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1819095},
  url = {https://doi.org/10.3389/frai.2026.1819095}
}

RIS

TY  - JOUR
TI  - Anomaly detection method for business processes based on enhanced complex scenario logs
AU  - Yang Song
AU  - Ruoyuan Zhang
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1819095
UR  - https://doi.org/10.3389/frai.2026.1819095
ER  -

APA

Song, Y., & Zhang, R. (2026). Anomaly detection method for business processes based on enhanced complex scenario logs. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1819095

Source records

crossref · retrieved 2026-11-08T04:01:42.161Z