Contents
Part I An Overview of Data Mining
1. Introduction to Data, Data Patterns, and Data Mining
1.1 Examples of Small Data Sets
1.2.1 Attribute Variable versus Target Variable
1.2.2 Categorical Variable versus Numeric Variable
1.3 Data Patterns Learned through Data Mining
1.3.1 Classification and Prediction Patterns
1.3.2 Cluster and Association Patterns
1.3.4 Outlier and Anomaly Patterns
1.3.5 Sequential and Temporal Patterns
1.4 Training Data and Test Data
Part II Algorithms for Mining Classification and Prediction Patterns
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