Anomaliedetektion in räumlich-zeitlichen Datensätzen

• मुख्य लेखक: Anneken, Mathias (auth)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• प्रकाशित: KIT Scientific Publishing 2023
• श्रृंखला: Karlsruher Schriften zur Anthropomatik
• विषय: Maths for computer scientists; spatio-temporal data; situation analysis; anomaly detection; räumlich-zeitliche Daten; Maritime Überwachung; Anomaliedetektion; maritime surveillance; Situationsanalyse; machine learning; Maschinelles Lernen
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

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.

भौतिक वर्णन

1 electronic resource (264 p.)

आईएसबीएन

KSP/1000158519

अभिगमन

Open Access