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Preface Acknowledgments Introduction Data Exploring Data Classification: Basic Concepts, Decision Trees, and Model Evaluation Classification: Alternative Techniques Association Analysis: Basic Concepts and Algorithms Association Analysis: Advanced Concepts Cluster Analysis: Basic Concepts and Algorithms Cluster Analysis: Additional Issues and Algorithms Anomaly Detection Appendices Linear Algebra Dimensionality Reduction: PCA, SVD, and More Probability and Statistics Regression Optimization Bibliography Index
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