Survey of Approaches for Discrimination Prevention in Data Mining

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
Data mining is an important technology for extracting useful patterns from large amount of data. Two major prevalent issues in data mining are privacy violation and discrimination. Discrimination arises when people are given unfair treatment on the basis of their sensitive features like gender, race, religion etc. Types of discrimination are direct and indirect discrimination. Direct discrimination consists of rules based on sensitive attributes like religion, race, community etc. Indirect discrimination occurs when decisions are based on non sensitive attributes which are closely related to sensitive attributes.
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