"Data-Driven Usage Profiling and Anomaly Detection in Support of ..."

Fabian Fingerhut et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ICDMW58026.2022.00026

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icdm/FingerhutHEJTVT22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/FingerhutHEJTVT22
Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova:
Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes. ICDM (Workshops) 2022: 127-136

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.