Direct and Indirect Discrimination Prevention in Data Mining

Discrimination is a presuppose privileges where provide to the each separate group for the safety of the data which is stored. Discrimination is two types, direct and indirect discrimination. Direct discrimination is based on sensitive information .Indirect discrimination is based on non-sensitive information. In existing system standard algorithm is used. Sometimes the data should be lost. In that data model, sensitive information should be free. It does not successfully handle the indirect discrimination problems which are associated to direct discrimination. The system using the new techniques is to protect the sensitive information .Discrimination deterrence methods. In term of data quality and discrimination detach for both direct and indirect discrimination.