Holdings: 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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Bibliographic Details
Main Author:	Li, Peng (Author)
Format:	Thesis Electronic eBook
Language:	English
Published:	Hamburg 2020
Subjects:	Produktion Automation Cluster-Analyse Fehlersuche Hochschulschrift
Online Access:	https://doi.org/10.24405/10770 https://nbn-resolving.org/urn:nbn:de:101:1-2020120912573177113380 https://d-nb.info/122304694X/34 Volltext
Physical Description:	1 Online-Ressource (vii, 119 Seiten) Illustrationen, Diagramme
DOI:	10.24405/10770

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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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