Data Mining

Contents

Preface

Acknowledgments

Author

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    Types of Data Variables

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

1.3.3    Data Reduction Patterns

1.3.4    Outlier and Anomaly Patterns

1.3.5    Sequential and Temporal Patterns

1.4    Training Data and Test Data

Exercises

Part II     Algorithms for Mining Classification and Prediction Patterns

  2.  Linear and Nonlinear Regression Models

2.1    Linear Regression ...