1 Introduction

2 Background  

3 Data quality for machine learning  

4 Statistical independence  

5 Attribute skew  

6 Label noise  

7 Fairness  

8 Privacy protection  

9 Reputation, trust, and security  

10 Conclusion and future research directions  