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Analysis of the employees' contacts supports monitoring compliance of the safety and access control policies. The paper presents an approach to the extraction of the different interaction patterns existing between employees belonging to one department or different ones from the access control sensors' logs. Exploration of the possible interaction patterns and their feature selection is done using...
The paper presents an approach to the movement analysis of the employees of critical infrastructure based on combination of data-mining and visualizations techniques. It consists of two stages — finding groups of employees with similar behavior and detection of the anomalies. The groups of similarities are defined using Kohonen self-organizing map (SOM); spatiotemporal patterns of the behavior are...
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