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In today's technology, the data collection processes have to deal with simultaneous data sources. In order, for the data to be examined or used by artificial learning methods, the data incoming from different sources must be aligned with each other. In this research, participants have worn eye tracker devices and all watched segments in the prepared experimental environment have been recorded as a...
Network intrusion detection systems need to detect abnormal behaviour in network data as soon as possible and with as little user intervention as possible. In this paper, we describe a semi-supervised network anomaly detection system. Our system uses online clustering to summarize the available network data. Clusters are represented using extended cluster features that comprise of not only features...
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