Principles of Big Data

Preface

Introduction

1. Big Data Moves to the Center of the Universe

2. Measurement

3. Annotation

4. Identification, De-identification, and Re-identification

5. Ontologies and Semantics: How information is endowed with meaning

6. Standards and their Versions

7. Legacy Data

8. Hypothesis Testing

9. Prediction

10. Software

11. Complexity

12. Vulnerabilities

13. Legalities

14. Social and Ethical Issues