International Business Machines Corporation

Hard Brakes, Inc.

T Alan Keahey

Graham John Wills

Daniel Jay Rope

Mauro Martino

Deok Gun Park

Cody G Dunne

Behrooz Ashtiani

James P Lill

A set of transition characteristics can be identified. The set of transition characteristics can include continuities and discontinuities between data fields and data visualization channels among a plurality of data visualizations. A transition tuple for each of a plurality of pairs of the data visualizations can be determined and mapped to a matrix. The matrix can be transposed to generate vectors, each vector representing a type of transition characteristic, at least one of the vectors comprising a plurality of elements equaling a total number of the determined transition tuples. The distribution of the data fields and the data visualization channels across the data visualizations can be determined by performing statistical analysis on each of the vectors. A collection of the data visualizations can be determined based on the statistical analysis performed on each of the vectors, the collection of the data visualizations can include a subset of the data visualizations.

Determining a collection of data visualizations

According to one embodiment, a method for generating a plurality of candidate visualizations. The method may include receiving a scenario description. The method may also include collecting a plurality of expert data using a training system based on the received scenario description. The method may further include generating at least one predictive model based on the collected plurality of expert data in order to execute the at least one generated predictive model during an application of a plurality of genetic algorithms.

Candidate visualization techniques for use with genetic algorithms

Embodiments relate to a system, product, and method for visually presenting data based on a viewing and change history. A first exploration is created, including a first and second view of a first data version. A second exploration is created, including a third and fourth view of a second data version. A first combined view of the first and second views is created containing a first data visualization of the first data version. A second combined view of the third and fourth views is created containing a second data visualization of the second data version. The first and second combined views are compared to display the structural changes between the first and second data versions.

Interactive visualization

A set of transition characteristics can be identified. The set of transition characteristics can include continuities and discontinuities between data fields and data visualization channels among a plurality of data visualizations. The set of transition characteristics can be identified by analyzing the plurality of data visualizations and identifying similarities and differences among the data fields and the data visualization channels. A distribution of the data fields and the data visualization channels across the plurality of data visualizations can be determined. A collection of the data visualizations can be determined based on the distribution of the data fields and the data visualization channels across the plurality of data visualizations. The collection of the data visualizations can include at least a subset of the plurality of data visualizations.

Embodiments relate to visually encoding data and analyzing an associated dataset. More specifically, the embodiments relate to encoding a dynamic dataset and supporting data exploration of the dynamic dataset. In various embodiments, data and data viewing history are tracked according to defined criteria, which form a data version and viewing analysis record. The data and record can be displayed in many ways. In one embodiment, a visual display of differences between a first version and a second version of data is shown. In another embodiment, the visual display is dynamic and changes in real-time.

Embodiments relate to visually encoding data and analyzing an associated dataset. More specifically, the embodiments relate to encoding a dynamic dataset and supporting data exploration of the dynamic dataset. In various embodiments, data and data viewing history are tracked according to defined criterion, which form a data version and viewing analysis record. The data and record can be displayed in many ways. In one embodiment, a visual display of differences between a first version and a second version of data is shown. In another embodiment, the visual display is dynamic and changes in real-time.

Techniques are described for a real-time visualization of data in an integrated authoring environment. In one example, a method includes receiving text information. The method also includes comparing the dynamically entered text information against a data source, wherein the comparing comprises applying natural language processing (NLP) to determine one or more assertion statements in the text information that references data from the data source. The method also includes retrieving the referenced data associated with the one or more assertion statements from the data source. The method further includes generating a visual representation of the referenced data associated with the one or more assertion statements. The method also includes displaying the visual representation, wherein the visual representation is integrated with an authoring interface.

Data analysis results authoring and peer review

A method for determining user preferences for data visualizations is provided. The method may include receiving data visualizations. The method may also include collecting the shapes, the line segments, and the colors associated with the data visualizations. The method may further include converting the shapes and the line segments to polygonal outlines. Additionally, the method may include categorizing and measuring the line segments. The method may further include identifying and categorizing the angles formed by the line segments and determining weighted values for the angles. The method may further include calculating the total length for the line segments, and the total weighted value for the angles. The method may also include characterizing the line segments based on the categorization of the line segments and the angles based on the categorization of the angles. The method may further include scoring the at least one data visualization based on the characterizations.

Determining user preferences for data visualizations

Ventilated heat shields and methods are disclosed. The ventilated heat shield can use varying patterns of insulating material with ventilation regions arranged in one or more two-dimensional (2D) and/or three-dimensional (3D) patterns to provide thermal insulation and air channels that allow for dissipation of heat and the inflow of cooling air. The ventilated heat shield can be used in applications where two surfaces are required to be in very close proximity or contact with each other to reduce the transfer of heat from one surface to the other. An example application for the ventilated heat shield is in a vehicle braking system.

Growing community of inventors

Naperville, IL, United States of America

T Alan Keahey