MineSet Enterprise Edition User's Guide for the Windows® Client

Document Number: 007-4005-002

Front Matter

| List of Figures | List of Tables |


Table of Contents

About This Guide
Audience for This Guide
Finding MineSet Information
Structure of This Document
Illustrations in This Guide
Further Reading
Typographical Conventions
Reader Comments

1. Overview of Data Mining and MineSet Tools
Data Mining Terminology
About Data Mining and Data Mining Methods
Analytical Data Mining
Visual Data Mining
MineSet Tools for Data Mining
Surveying the Data Mining Process

2. Accessing Data with MineSet
Where to Find MineSet
How the MineSet Software Works
MineSet and Your Application
System Settings for Optimum Visual Displays
Starting MineSet
Using the Tool Manager Window
Viewing the Raw Records with Record Viewer
Seeing Record Statistics with the Statistics Visualizer
Starting the Statistics Visualizer
Starting the Histogram Visualizer
Navigating in the MineSet 3D Visualizers
Brushing in the 3DVisualizer Window
Viewing Multiple Documents in the 3DVisualizer Window
Getting Help

3. Shaping the Data
Why Shape the Data?
Transforming Data with the Tool Manager
Retracing Your Steps with Table History
Weighting Records
Finding Important Columns

4. Examining Data with the Scatter and Splat Visualizers
Overview of the Scatter and Splat Visualizers
Transforming the Data for the Scatter and Splat Visualizers
Starting the Scatter and Splat Visualizers
Examining Results in the Scatter and Splat Visualizers
Creating Animations in the Scatter and Splat Visualizers
Manipulating Scatter and Splat Visualizer Results

5. Examining Data with the Tree Visualizer
Overview of the Tree Visualizer
Starting the Tree Visualizer
Examining Your Results with the Tree Visualizer
Fine-Tuning the Tree Visualizer Display

6. Examining Data with the Map Visualizer
Overview of the Map Visualizer
Starting the Map Visualizer
Preparing the Data
Examining the Map Visualizer
Creating an Animation in the Map Visualizer
Manipulating the Map Visualizer Results

7. Understanding Predictive Modeling
Overview of Predictive Modeling
Generating a Model
Evaluating a Predictive Model
Applying a Predictive Model
Where to Go from Here

8. Modeling and Predicting with Decision, Option, and Regression Trees
Overview of Decision, Option, and Regression Trees
Starting the Decision, Option, and Regression Trees
Examining Your Results with the Decision Tree Visualizer
Examining Your Results with the Option Tree Visualizer
Examining Your Results with the Regression Tree Visualizer
Predicting with Decision, Option, and Regression Trees

9. Modeling and Predicting with the Decision Table Classifier and Visualizer
Overview of the Decision Table Classifier
Starting the Decision Table
Examining Your Results with the Decision Table Visualizer
Predicting with Decision Table

10. Modeling and Predicting with the Evidence Classifier and Visualizer
Overview of the Evidence Classifier and Visualizer
Starting the Evidence Tool
Examining Your Results with the Evidence Visualizer
Predicting with the Evidence Classifier

11. Refining Predictive Modeling
Ensuring the Accuracy of Models
Fine-tuning Models with the Confusion Matrix and Loss Matrix
Assessing Models with the Lift Curve and ROI Curve

12. Segmenting the Data with Clustering
Overview of Clustering
Starting Clustering with Tool Manager
Understanding the Cluster Visualizer Main Window
Alternative Visualization of Clustering

13. Analyzing Data with Association Rules
Overview of Association Rules Generation and Visualization
Starting the Association Rules
Interpreting Association Rules in the Scatter Visualizer
Drilling Through
Multiway Association Rules

MineSet User's Glossary

Index