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oapen-20.500.12657-75885
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oapen-20.500.12657-758852024-03-28T09:33:24Z Anomaliedetektion in räumlich-zeitlichen Datensätzen Anneken, Mathias spatio-temporal data; situation analysis; anomaly detection; räumlich-zeitliche Daten; Maritime Überwachung; Anomaliedetektion; maritime surveillance; Situationsanalyse; machine learning; Maschinelles Lernen Human support in surveillance tasks is crucial due to the overwhelming amount of sensor data. This work focuses on the development of data fusion methods using the maritime domain as an example. Various anomalies are investigated, evaluated using real vessel traffic data and tested with experts. For this purpose, situations of interest and anomalies are modelled and evaluated based on different machine learning methods. 2023-08-29T07:29:03Z 2023-08-29T07:29:03Z 2023 book https://library.oapen.org/handle/20.500.12657/75885 ger Karlsruher Schriften zur Anthropomatik application/pdf Attribution 4.0 International anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf https://doi.org/10.5445/KSP/1000158519 KIT Scientific Publishing 10.5445/KSP/1000158519 10.5445/KSP/1000158519 44e29711-8d53-496b-85cc-3d10c9469be9 51 264 open access
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| institution |
OAPEN
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DSpace
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| language |
German
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| description |
Human support in surveillance tasks is crucial due to the overwhelming amount of sensor data. This work focuses on the development of data fusion methods using the maritime domain as an example. Various anomalies are investigated, evaluated using real vessel traffic data and tested with experts. For this purpose, situations of interest and anomalies are modelled and evaluated based on different machine learning methods.
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| title |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| spellingShingle |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| title_short |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| title_full |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| title_fullStr |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| title_full_unstemmed |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| title_sort |
anomaliedetektion-in-raumlich-zeitlichen-datensatzen.pdf
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| publisher |
KIT Scientific Publishing
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| publishDate |
2023
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| url |
https://doi.org/10.5445/KSP/1000158519
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| _version_ |
1799945295932424192
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