Discrimination Prevention by Different Measures in Direct Rule Protection Algorithm
Data mining plays an important role in knowledge discovery that helps to make automated decision making process more efficient. The automated decision making process may give a sense of fair decision but there can be discrimination as training data may act as source of discrimination i.e. it may be biased towards or against certain group leading to a discrimination. People do not want discrimination based on their race, gender, religion, nationality, etc. The privacy of an individual is very important. Data sanitization is one of the privacy preserving approaches that can be used for the purpose of discrimination prevention.