{"type":"conference","department":[{"_id":"672"}],"date_created":"2021-10-04T12:45:34Z","related_material":{"link":[{"url":"http://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/2355","relation":"confirmation"}]},"publication":"Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC'13)","citation":{"ieee":"K. Stahl, “AIS-based Anomaly Detection for Self-X Systems,” in Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13), 2013, pp. 24–26.","apa":"Stahl, K. (2013). AIS-based Anomaly Detection for Self-X Systems. Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13), 24–26.","mla":"Stahl, Katharina. “AIS-Based Anomaly Detection for Self-X Systems.” Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13), Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg, 2013, pp. 24–26.","bibtex":"@inproceedings{Stahl_2013, title={AIS-based Anomaly Detection for Self-X Systems}, booktitle={Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13)}, publisher={Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg}, author={Stahl, Katharina}, year={2013}, pages={24–26} }","chicago":"Stahl, Katharina. “AIS-Based Anomaly Detection for Self-X Systems.” In Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13), 24–26. Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg, 2013.","short":"K. Stahl, in: Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13), Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg, 2013, pp. 24–26.","ama":"Stahl K. AIS-based Anomaly Detection for Self-X Systems. In: Proceedings of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13). Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg; 2013:24-26."},"user_id":"21240","page":"24-26","_id":"25298","language":[{"iso":"eng"}],"publisher":"Reports / Technische Berichte - Herausgeber: Fakultät für Angewandte Informatik der Universität Augsburg","date_updated":"2022-01-06T06:56:59Z","year":"2013","status":"public","title":"AIS-based Anomaly Detection for Self-X Systems","author":[{"first_name":"Katharina","last_name":"Stahl","full_name":"Stahl, Katharina"}]}