List of Figures

| Table of Contents | List of Figures | List of Tables |

Figure 1-1. Analytical Data Mining Discovers Patterns in Data

Figure 2-1. Data Mining Process

Figure 3-1. Tool Manager Log In Window

Figure 3-2. Open New Data File Window

Figure 3-3. Representative Box Plot and Histogram Produced by Statistics Visualizer

Figure 3-4. Evidence Visualizer Window

Figure 3-5. Adding a New Column

Figure 3-6. Mapping Columns to Elements for Splat Visualizer

Figure 3-7. Splat Visualizer Window

Figure 3-8. Aggregate Dialog Box

Figure 3-9. Map Viz Options Dialog Box

Figure 3-10. Mapping Columns to Visual Entities for Map Visualizer

Figure 3-11. Map Visualizer Window With Average Churn Distribution

Figure 3-12. Tree Visualizer Window

Figure 4-1. Removing Columns to Prepare for Clustering

Figure 4-2. Box Plots Produced by Cluster Visualizer

Figure 4-3. Saving Data File to Server

Figure 4-4. Column Importance Selections for Cluster

Figure 4-5. Mapping Columns to Axes for Scatter Visualizer

Figure 4-6. Scatter Visualization Plotted from Clustering

Figure 4-7. Decision Table Showing Clustered Churn Results

Figure 4-8. Selecting a Sampling for Testing

Figure 4-9. Preparing to Test Classifier on Full Dataset

Figure 4-10. Lift Curve

Figure 4-11. Filtering for the Probability of Churn

Figure 4-12. Record Viewer Results

Figure 4-13. Classifier Options Pane Showing Confusion Matrix Checked On

Figure 4-14. Confusion Matrix Showing Correct and Incorrect Classifications

Figure 4-15. Loss Matrix Showing Weighting

Figure 4-16. Return on Investment Curve