Abstract: Similarities between events that include a plurality of dimensions are computed, the similarities computed based on binary comparisons between the events and based on user-specified weights for the dimensions. Multidimensional scaling (MDS) values are calculated based on the computed similarities between the events. A graphical visualization is generated of a temporal plot of the events, the temporal plot comprising a first axis corresponding to time, and a second axis corresponding to the MDS values, and the temporal plot representing overlapping time slices each containing pixels representing a respective subset of the events.

Abstract: Processing geographical information includes storing geographical information including a map dataset and associated context dataset in a memory. A central window subset based on the map data set and the associated context dataset is extracted from the memory. A frame window subset based on an associated context dataset that is adjacent to the central window subset is extracted from the memory. The central window subset and the frame window subset are transferred to a graphics memory.

Abstract: A user-selected group of data points is received. Weighted distances between further data points with the user-selected group of data points are computed, the weighted distances computed based on respective weights assigned to dimensions of data points. Density-based grouping of the further data points is performed based on the computed weighted distances, the density-based grouping producing cohorts of data points. A graphical visualization is generated including pixels representing the user-selected group of data points and the cohorts of data points. The graphical visualization provides a temporal-based visualized identification of the cohorts with the user selected group of data points.

Abstract: Similarities between events that include a plurality of dimensions are computed, the similarities computed based on binary comparisons between the events and based on user-specified weights for the dimensions. Multidimensional scaling (MDS) values are calculated based on the computed similarities between the events. A graphical visualization is generated of a temporal plot of the events, the temporal plot comprising a first axis corresponding to time, and a second axis corresponding to the MDS values, and the temporal plot representing overlapping time slices each containing pixels representing a respective subset of the events.

Abstract: Processing geographical information includes storing geographical information including a map dataset and associated context dataset in a memory. A central window subset based on the map data set and the associated context dataset is extracted from the memory. A frame window subset based on an associated context dataset that is adjacent to the central window subset is extracted from the memory. The central window subset and the frame window subset are transferred to a graphics memory.