Data Mining Analysis for the Direct and Indirect Discrimination Prevention

Provided by: IJCTT-International Journal of Computer Trends and Technology
Topic: Data Management
Format: PDF
Data mining is a progressively important technology for extracting beneficial knowledge unseen in large assortments of the data. There are, however, negative social perceptions nearby data mining, between which potential privacy attack and potential discrimination. The latter consists of unfairly considering people on the basis of their fitting to a specific group. Robotic data collection and data mining techniques such as organization rule mining have cemented the way to production automated conclusions, comparable loan granting or denial, insurance premium removal, etc. If the training data sets are fractional in what regards unfair (sensitive) attributes like gender, fight, conviction, etc., unbalanced decisions may succeed.

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