October 24, 2016. Baltimore, Maryland.
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As visualization researchers, our ongoing challenge is often to leverage the voluminous data that is being captured to drive decision making and insights. Common to such data are temporal events, data points with both a timestamp and event type, so understanding patterns of temporal event sequences is an important problem to many domains.