A Novel Approach to Prevent the Discrimination in Data Mining

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Provided by: International Journal of Engineering and Advanced Technology (IJEAT)
Topic: Big Data
Format: PDF
Automatic data collection has become the most wanted method in the banking sector to make automatic decisions like loan granting/denial. The discriminations in the dataset will lead to take the decisions in the partiality manner. The discrimination can be either direct or indirect discrimination. Direct discrimination occurs when decisions are made based on sensitive attributes. Indirect discrimination occurs when decisions are made based on non-sensitive attributes. To overcome the partiality decisions the proposed system produces the anti-discrimination methodologies.
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