… It has also encouraged our users to think of "temporal data analysis" in new ways,
reinforcing the idea of exploratory data analysis for more general temporal sequential data. …

… of interactions. Here, we assess the viability of extracting interactions from a temporal data
… We show that the interactions extracted from this type of data can create similar dominance …

… We also acknowledge that this study examined interaction with spatio-temporal data from
only a single game, DotA 2. We acknowledge that this almost certainly impacted the patterns …

The detection of outliers in spatio-temporal traffic data is an important research problem in
the data mining and knowledge discovery community. However to the best of our knowledge, …

… to be combined with further interaction techniques, such as filtering, data aggregation, and …
the use of interaction in ST visualization by applying a generic interaction taxonomy for InfoVis…

… -temporal data, and in section 3, we give a short overview on current graphic technologies
competing with VRML. In section 4, we show which different features of spatio-temporal data …

… This paper introduces a method for visually exploring spatio‐temporal data or predictions
that come as probability density functions, eg output of statistical models or Monte Carlo …

… by a collection of temporal edges (ie, timestamped interactions), we first extract network
context information of temporal interaction networks by sampling a set of temporal random walks […

… Under a time window model, interactions a i,j are defined within a given temporal distance
Δ t . The selection of this scale parameter is crucial for the extracted topology of the network: …

… We present an interactive visual tool that complements query formulation by providing
operations to align, rank and filter the results, and to visualize estimates of the intervals of validity …