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Many application domains such as intelligence analysis and cybersecurity require tools for the unsupervised identification of suspicious entities in multi-relational/network data. In particular, there is a need for automated semi-automated approaches to ‘uncover the plot’, i.e., to detect non-obvious coalitions of entities bridging many types of relations. We cast the problem of detecting such suspicious...
A prototype visual analytics tool uses data mining algorithms to find patterns in textual datasets and then supports exploration of these patterns in the form of biclusters on a high-resolution display.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.