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"FLAGS: A methodology for adaptive anomaly detection and root cause ..."

Bram Steenwinckel et al. (2021)

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DOI: 10.1016/J.FUTURE.2020.10.015

access: open

type: Journal Article

metadata version: 2021-10-14

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  - journals/fgcs/SteenwinckelPHH21
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  - https://dblp.org/rec/journals/fgcs/SteenwinckelPHH21
Bram Steenwinckel, Dieter De Paepe, Sander Vanden Hautte, Pieter Heyvaert, Mohamed Bentefrit, Pieter Moens, Anastasia Dimou, Bruno Van Den Bossche, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning. Future Gener. Comput. Syst. 116: 30-48 (2021)

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