Verfügbarkeit: A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems

A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems:

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Bibliographische Detailangaben
1. Verfasser:	Li, Peng (VerfasserIn)
Format:	Abschlussarbeit Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Hamburg 2020
Schlagworte:	Produktion Automation Cluster-Analyse Fehlersuche Hochschulschrift
Online-Zugang:	https://doi.org/10.24405/10770 https://nbn-resolving.org/urn:nbn:de:101:1-2020120912573177113380 https://d-nb.info/122304694X/34 Volltext
Beschreibung:	1 Online-Ressource (vii, 119 Seiten) Illustrationen, Diagramme
DOI:	10.24405/10770

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spelling	Li, Peng Verfasser aut A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems presented by Li, Peng, from Xi'An China Hamburg 2020 1 Online-Ressource (vii, 119 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Helmut-Schmidt-University, University of German Federal Armed Forces 2020 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Produktion (DE-588)4047347-8 gnd rswk-swf Automation (DE-588)4003957-2 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Fehlersuche (DE-588)4016615-6 gnd rswk-swf 3\p Automation (DLC)sh85010116 http://id.loc.gov/authorities/subjects/sh85010116 lcsh (DE-588)4113937-9 Hochschulschrift gnd-content Automation (DE-588)4003957-2 s Produktion (DE-588)4047347-8 s Fehlersuche (DE-588)4016615-6 s Cluster-Analyse (DE-588)4070044-6 s DE-604 https://doi.org/10.24405/10770 Resolving-System https://nbn-resolving.org/urn:nbn:de:101:1-2020120912573177113380 Resolving-System https://d-nb.info/122304694X/34 Langzeitarchivierung Nationalbibliothek application/pdf https://openhsu.ub.hsu-hh.de/handle/10.24405/10770 Verlag kostenfrei Volltext 1\p aepkn 0,90533 20201210 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99118 20201210 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p aeplcsh 0,07143 20201210 DE-101 https://d-nb.info/provenance/plan#aeplcsh
spellingShingle	Li, Peng A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems Produktion (DE-588)4047347-8 gnd Automation (DE-588)4003957-2 gnd Cluster-Analyse (DE-588)4070044-6 gnd Fehlersuche (DE-588)4016615-6 gnd 3\p Automation (DLC)sh85010116 http://id.loc.gov/authorities/subjects/sh85010116 lcsh
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title	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems
title_auth	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems
title_exact_search	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems
title_exact_search_txtP	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems
title_full	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems presented by Li, Peng, from Xi'An China
title_fullStr	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems presented by Li, Peng, from Xi'An China
title_full_unstemmed	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems presented by Li, Peng, from Xi'An China
title_short	A geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems
title_sort	a geometric representation and similarity measure for clustering based anomaly detection in industrial automation systems
topic	Produktion (DE-588)4047347-8 gnd Automation (DE-588)4003957-2 gnd Cluster-Analyse (DE-588)4070044-6 gnd Fehlersuche (DE-588)4016615-6 gnd 3\p Automation (DLC)sh85010116 http://id.loc.gov/authorities/subjects/sh85010116 lcsh
topic_facet	Produktion Automation Cluster-Analyse Fehlersuche Hochschulschrift
url	https://doi.org/10.24405/10770 https://nbn-resolving.org/urn:nbn:de:101:1-2020120912573177113380 https://d-nb.info/122304694X/34 https://openhsu.ub.hsu-hh.de/handle/10.24405/10770
work_keys_str_mv	AT lipeng ageometricrepresentationandsimilaritymeasureforclusteringbasedanomalydetectioninindustrialautomationsystems

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