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8060results about "Drawing from basic elements" patented technology

Method, system, and computer program product for visualizing a data structure

A data structure visualization tool visualizes a data structure such as a decision table classifier. A data file based on a data set of relational data is stored as a relational table, where each row represents an aggregate of all the records for each combination of values of the attributes used. Once loaded into memory, an inducer is used to construct a hierarchy of levels, called a decision table classifier, where each successive level in the hierarchy has two fewer attributes. Besides a column for each attribute, there is a column for the record count (or more generally, sum of record weights), and a column containing a vector of probabilities (each probability gives the proportion of records in each class). Finally, at the top-most level, a single row represents all the data. The decision table classifier is then passed to the visualization tool for display and the decision table classifier is visualized. By building a representative scene graph adaptively, the visualization application never loads the whole data set into memory. Interactive techniques, such as drill-down and drill-through are used view further levels of detail or to retrieve some subset of the original data. The decision table visualizer helps a user understand the importance of specific attribute values for classification.
Owner:RPX CORP +1

Conceptual factoring and unification of graphs representing semantic models

Techniques for factoring one or more source graphs into a composite graph containing nodes representing analogous elements of the source graphs and a variability graph containing nodes representing differences in the source graphs. The composite graph is made by taking analogous input trees from the source graphs and traversing the trees from top to bottom looking for nodes in each tree at each level that are analogous to the nodes at that level in the other input trees. The sets of analogous nodes are found by first automatically correlating the nodes in the level currently being examined. Correlation may, for example, be based on similar values of a property of the nodes being correlated. Representations of the sets of correlated nodes are then displayed to a user, who indicates which sets of correlated nodes are in fact analogous. The user may also indicate that the nodes in a set of correlated nodes are not analogous or that nodes that were found by the automatic correlation not to be autonomous are in fact. The analogous nodes are allocated to a corresponding node at a corresponding level in the composite graph; the other nodes are allocated to a set of anomalous nodes. One application for the techniques is managing graphs which are models of catalogs of items.

Usage based methods of traversing and displaying generalized graph structures

A method for generating a tree structure representation of a generalized graph structure for display includes the more important links in the representation. Usage parameters are referenced in generating the tree structure from the generalized graph structure. Frequency, recency, spacing of accesses, and path information are exemplary types of usage parameters. A breadth-first or depth-first traversal of the graph references usage parameters associated with each node or link. The usage parameters which are associated with each node are referenced in order to determine the visitation order. The visitation order is determined by visiting the highest used nodes or links first. A method of displaying the tree structure references the usage parameters to determine the positioning of the nodes in the layout of the tree structure. In a preferred embodiment, the root node is positioned in the center of the layout. In one example, sibling nodes are spread out on links which emanate radially about their parent. The highest-used sibling nodes can be placed farthest apart from each other so as to achieve optimal separation so that they have the most growth space. The lowest-used nodes are then placed in the remaining space between the high-usage nodes. In another example, sibling nodes are positioned at the same radius from the root node. Each leaf node in the hierarchy is assigned the same amount of angular space. The layout angle of each node is a function of the ranking of the node's usage parameter relative to its siblings. Derived usage parameters such as need probability, cocitation clustering, or functions of both node and link usages can alternatively be referenced.

Systems and methods for displaying changes in biological responses to therapy

Systems and methods of this invention display data using pixels with information indicated by color and intensity changes, particularly used for monitoring of physiological variables in real time. For certain methods, physiological data can be acquired by sensors, acquired data can be stored in data frames, data frames can be processed using computer-implemented methods, and processed data frames can be scaled to a display frame for display on a display device. Using such methods, a spot made up of a group of pixels can be updated during a time frame, or cycle using a computer-implemented method, such as addition, subtraction, multiplication, division or a time dependent function. Newly received data can be combined with prior received data to indicate time-dependent changes. In this way, each spot contains a cumulative history of data starting at some initial time. In other embodiments, visual contrast can be enhanced between desired data and other data. In further embodiments, two or more different types of data can be plotted together to indicate relationships between variables. Real time monitoring of signals during therapeutic treatment using light, electricity or other nerve or muscle stimuli can allow a user to monitor physiological responses during stimulation and to make rapid decisions about medical treatment.

Systems and methods for displaying and querying heterogeneous sets of data

A visualization system for heterogeneous data sets comprises: a unique visualization interface created by a visualization engine. The visualization interface comprises a window or canvas having a first area defining a center of attention, second area defining a parameter space and a plurality of correlation elements. The first area is a two-dimensional space for the display of items of interest. The second area provides a space in which parameters associated with the items of interest can be displayed. The correlation elements indicate relationships and their strength between items of interest and parameters in the second area. The visualization engine creates the unique visualization interface and is coupled to a data source, such as a database. The visualization engine preferably comprises an input module, a control module, a retrieving module, a rendering module, and an analysis module. These components are coupled together to receive input from the user, present the unique visualization interface to the user, and retrieve data from the data source. The present invention also includes a number of novel methods including: a method for creating visualization interface, a method for updating the visualization interface, and a method for modifying the visualization interface responsive to an alert.
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