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In data mining, discrimination is a very important issue when considering the legal and ethical aspects of privacy preservation. It is clearer that most of the people do not have a wish to discriminated based on their race, nationality, religion, age and so on. This problem mainly arises when these kind of attributes are used for decision making purpose such as giving them a job, loan, insurance etc. For this reason discovering such attributes and eliminating them from the training data without affecting their decision-making utility is essential.
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