Data Mining for the Social Sciences: An Introduction

摘要: PART 1. CONCEPTS What Is Data Mining? 2. Contrasts with the Conventional Statistical Approach 3. Some General Strategies Used in Mining 4. Important Stages a Project WORKED EXAMPLES 5. Preparing Training and Test Datasets 6. Variable Selection Tools 7. Creating New Variables Using Binning Trees 8. Extracting 9. Classifiers 10. Classification 11. Neural Networks 12. Clustering 13. Latent Class Analysis Mixture Models 14. Association Rules Conclusion Bibliography Notes Index