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

A system for visualizing a multi-dimensional data set, wherein a data file is generated from the data set, wherein a data structure is created from the data file that includes a plurality of labeled records, each record having at least one attribute value and a corresponding class label, and the data structure being capable of assigning class labels to unlabeled records based on attribute values found in the unlabeled records, wherein the data structure comprises more than one level arranged in a hierarchal manner, comprising:

• means for constructing a scene graph representing the data structure;
• means for displaying a visualization of said scene graph, wherein said visualization includes a first view showing a display of computed probability information for at least a top hierarchal level of the data structure, and a second view showing prior probabilities of each label value, wherein said first view does not display all levels of the data structure;
• and
• means for allowing user interaction with said visualization to trigger the computation and display of probability information for levels of the data structure not displayed in said first view.

A computer program product comprising a computer useable medium having computer program logic recorded thereon for enabling a processor in a computer system to visually represent the structure of a decision table classifier, the decision table classifier being generated from a training set of labeled records, each record having at least one attribute value and a corresponding class label, and the decision table classifier being capable of assigning class labels to unlabeled records based on attribute values found in the unlabeled records, wherein the decision table classifier comprises more than one level arranged in a hierarchical manner, said computer program logic comprising:

• means for enabling the processor to construct a scene graph representing the decision table classifier;
• means for enabling the processor to display a visualization of said scene graph, wherein said visualization includes a decision table pane view showing a display of computed conditional probability information for a pair of said attributes in at least a top hierarchal level of said decision table classifier, and a label probability pane view showing prior probabilities of each label value. wherein said decision table pane view does not display all levels of said decision table classifier;
• and
• means for enabling the processor to allow user interaction with said visualization to trigger the computation and display of probability information for levels of said decision table classifier not displayed in said decision table pane view.

An integrated data mining system comprising:

• an inducer;
• means for configuring said inducer to generate a first data file representing structure of an evidence classifier, a second data file representing structure of a decision-tree classifier, and a third data file representing structure of a decision table classifier, wherein said decision table classifier structure comprises more than one level arranged in a hierarchal manner;
• means for visualizing said evidence classifier structure based on said first data file;
• means for visualizing said decision-tree classifier structure based on said second data file;
• means for visualizing said decision table classifier structure based on said third data file, wherein said means for visualizing said decision table classifier structure includes a view showing a display of computed probability information for at least a top hierarchal level of said decision table classifier structure;
• and
• means for allowing user interaction with said visualization to trigger the computation and display of probability information for levels of said decision table classifier structure not displayed in said view.