Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses
- Author
- Bram Steenwinckel (UGent) , Pieter Heyvaert (UGent) , Dieter De Paepe (UGent) , Olivier Janssens (UGent) , Sander Vanden Hautte (UGent) , Anastasia Dimou (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8583136
- MLA
- Steenwinckel, Bram, Pieter Heyvaert, Dieter De Paepe, et al. “Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses.” Proceedings of the 9th International Semantic Sensor Networks Workshop, Co-located with 17th International Semantic Web Conference (ISWC 2018). Vol. 2213. 2018. 17–31. Print.
- APA
- Steenwinckel, B., Heyvaert, P., De Paepe, D., Janssens, O., Vanden Hautte, S., Dimou, A., De Turck, F., et al. (2018). Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses. Proceedings of the 9th international semantic sensor networks workshop, co-located with 17th international semantic web conference (ISWC 2018) (Vol. 2213, pp. 17–31). Presented at the 9th International Semantic Sensor Networks workshop, co-located with 17th International Semantic Web conference (ISWC 2018).
- Chicago author-date
- Steenwinckel, Bram, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, and Femke Ongenae. 2018. “Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses.” In Proceedings of the 9th International Semantic Sensor Networks Workshop, Co-located with 17th International Semantic Web Conference (ISWC 2018), 2213:17–31.
- Chicago author-date (all authors)
- Steenwinckel, Bram, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, and Femke Ongenae. 2018. “Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses.” In Proceedings of the 9th International Semantic Sensor Networks Workshop, Co-located with 17th International Semantic Web Conference (ISWC 2018), 2213:17–31.
- Vancouver
- 1.Steenwinckel B, Heyvaert P, De Paepe D, Janssens O, Vanden Hautte S, Dimou A, et al. Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses. Proceedings of the 9th international semantic sensor networks workshop, co-located with 17th international semantic web conference (ISWC 2018). 2018. p. 17–31.
- IEEE
- [1]B. Steenwinckel et al., “Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses,” in Proceedings of the 9th international semantic sensor networks workshop, co-located with 17th international semantic web conference (ISWC 2018), Monterey, CA, USA, 2018, vol. 2213, pp. 17–31.
@inproceedings{8583136,
author = {Steenwinckel, Bram and Heyvaert, Pieter and De Paepe, Dieter and Janssens, Olivier and Vanden Hautte, Sander and Dimou, Anastasia and De Turck, Filip and Van Hoecke, Sofie and Ongenae, Femke},
booktitle = {Proceedings of the 9th international semantic sensor networks workshop, co-located with 17th international semantic web conference (ISWC 2018)},
issn = {1613-0073},
language = {eng},
location = {Monterey, CA, USA},
pages = {17--31},
title = {Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses},
url = {http://ceur-ws.org/Vol-2213/paper2.pdf},
volume = {2213},
year = {2018},
}