Abstract: A method comprises determining an importance value for each series data set among a plurality of series data sets and visually representing each of the series data sets in accordance with the importance values.

Abstract: Continually-incoming time series data is displayed in a visualization screen. In response to detecting that the visualization screen has become full with time series data, a first portion of the time series data is overwritten with additional incoming data such that the additional incoming data replaces the first portion of the time series data in the visualization screen. A second portion of the time series data is maintained unshifted even though the additional incoming data has been added to the visualization screen.

Abstract: To visualize and analyze data, selection of at least one focus area in a visualization of a data set is received. Based on characteristics of the selected at least one focus area, using at least one analytic technique to mine relationships between data items and at least one attribute in the selected at least one focus area and data items and at least one attribute in remaining portions of the data set. At least one visual representation is generated to show mining results produced from selected data items and one or more attributes in the selected at least one focus area and the remaining portions of the data set, where the generated visual representation is composed to have an order and layout to represent the mined results.

Abstract: A collection of data values is divided into plural bins, wherein a number of the bins is dependent upon a change feature of the data values. Parameter values associated with respective bins are determined. Based on the parameter values, visualization of the plural bins is provided in corresponding plural display screen partitions of a display screen, wherein at least one of the display screen partitions has a resolution that is different from another of the display screen partitions.

Abstract: A system, method and computer-readable media are disclosed for generating an image from another image of contiguous polygons and a vector containing values to which areas of corresponding polygons are scaled. The method embodiment relates to generating an image from a plurality of contiguous polygons having vertices. The method comprises calculating a shape value associated with a polygon, calculating an altered shape value associated with an altered polygon, the altered polygon being an altered version of the polygon, calculating a shape distortion by comparing the shape value and the altered shape value and determining whether to accept the altered polygon based on the calculated shape distortion.

Abstract: A method for graphically presenting large volumes of data without aggregation using a pixel bar chart. Records having multiple attributes are sorted for constructing a graphically displayable array, wherein the graphically displayable array comprises a plurality of pixels. Each pixel represents one record. The non-aggregation data visualization technique of the present invention provides solutions to meet the need of automatic data preparation for the visual data mining of massive data volumes. The present invention effectively uses screen space to represent each record without cluttering the display, allowing a user to easily discover patterns and correlations. The present invention provides a visual impression by representing the value of a record by a color and representing the number of records by the area of a group. With “drill down” capability, a user can navigate through each record to find detail information.

Abstract: The disclosed embodiments relate to a system and method for providing a graphical representation of data. Embodiments of the present invention comprise: abstracting a plurality of parameters from the parameter set, dividing the plurality of parameters into data groups, defining a plurality of partitions for a graphical representation, mapping the data groups to corresponding nodes on the plurality of partitions, and connecting the nodes graphically with indicia that indicates an association between data groups.

Abstract: Receiving a hierarchical dataset including child data items that depend directly or indirectly from one or more parent data items. Processing the hierarchical dataset to generate nodes for each data item within the hierarchical dataset, wherein nodes for child data items are generated within nodes for parent data items and aligning nodes representing like data items in a dashboard view.

Abstract: The disclosed embodiments relate to a system and method for providing a graphical representation of data. Embodiments of the present invention comprise: abstracting a plurality of parameters from the parameter set, dividing the plurality of parameters into data groups, defining a plurality of partitions for a graphical representation, mapping the data groups to corresponding nodes on the plurality of partitions, and connecting the nodes graphically with indicia that indicates an association between data groups.

Abstract: A system, method and computer-readable media are disclosed for generating an image from another image of contiguous polygons and a vector containing values to which areas of corresponding polygons are scaled. The method embodiment relates to generating an image from a plurality of contiguous polygons having vertices. The method comprises calculating a shape value associated with a polygon, calculating an altered shape value associated with an altered polygon, the altered polygon being an altered version of the polygon, calculating a shape distortion by comparing the shape value and the altered shape value and determining whether to accept the altered polygon based on the calculated shape distortion.

Abstract: The present invention is a method for generating cartograms using a base map of contiguous polygons and a vector containing values to which areas of corresponding polygons are scaled. The general problem is intractable, so an iterative heuristic is proposed. The heuristic is based on “scanlines.” The scanlines may be defined automatically (typically, by placing a grid over the map) or entered manually (to provide finer control over the results). At each step, one scanline is chosen and a new candidate map is made by adjusting the vertices of polygons intersected by the scanline, moving them orthogonally to the scanline. A candidate solution is accepted if it improves the solution and preserves the input mesh's topology. Improvement depends on metrics for area and shape error.

Abstract: A method for graphically presenting large volumes of data without aggregation using a pixel bar chart. Records having multiple attributes are sorted for constructing a graphically displayable array, wherein the graphically displayable array comprises a plurality of pixels. Each pixel represents one record. The non-aggregation data visualization technique of the present invention provides solutions to meet the need of automatic data preparation for the visual data mining of massive data volumes. The present invention effectively uses screen space to represent each record without cluttering the display, allowing a user to easily discover patterns and correlations. The present invention provides a visual impression by representing the value of a record by a color and representing the number of records by the area of a group. With “drill down” capability, a user can navigate through each record to find detail information.

Abstract: A method for effective placement of data for visualization of multidimensional data sets using multiple pixel bar charts. Data is received comprising a plurality of records, each record having a plurality of attributes. From the plurality of attributes, a set of attributes is determined for placement of the plurality of records in a graphically displayable array comprising a plurality of data points, each data point representing one record of the plurality of records. In one embodiment, the graphically displayable array is a pixel bar chart. The plurality of records are arranged to construct the pixel bar chart for presenting the data in a format for detecting relationships between the plurality of records. The present invention provides a pixel visualization technique having a method of optimal data placement to resolve the locality and ordering constraints.