MineSet™ 2.5 Tutorial
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MineSet
™
2.5 Tutorial
Document Number: 007-3573-003
Front Matter
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List of Figures
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List of Tables
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Table of Contents
About This Tutorial
Audience for This Tutorial
Prerequisites for This Tutorial
Structure of This Tutorial
Typographical Conventions
1.
Data Mining Fundamentals
About Data Mining
Data Mining Methods
Analytical Data Mining Algorithms
Data Visualization
MineSet Tools for Data Mining Tasks
2.
Data Mining Process
Identifying the Data
Preparing the Data
Building a Model
Evaluating a Model
Deploying a Model
Applying the Process to a Specific Database
3.
Churn Tutorial
About the Raw Data
Starting MineSet
Viewing the Records
Building an Evidence Classifier
Viewing Probabilities With Splat Visualizer
Visualizing Geographic Distributions
Creating a Decision Tree Classifier
4.
Further Explorations
Exploring Data Clusters
Invoking a Decision Table
Targeting Customers Using a Classifier
Reducing Misclassification Costs
Further Exploration of MineSet
Index