Title: A Survey On A Methodology for Direct and Indirect Discrimination Prevention in Data Mining by using NLP Method
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Title: |
A Survey On A Methodology for Direct and Indirect Discrimination Prevention in Data Mining by using NLP Method |
Author Name: |
MsBhagyashri Sawana,Prof. P.K.Bharne |
Abstract: |
Discrimination is the prejudicial treatment which involves denying opportunities to members of one group in favor of other groups. It is unfair to discriminate people because of their gender, religion, nationality, age and so on, especially when those attributes are used for making decisions about them like giving them a job, loan, insurance, etc. If the training data are inherently biased for or against a particular community, discriminatory decisions may ensue. Discovering the potential biases and eliminating them from the training data without harming their decision-making utility is therefore highly desirable which forms the primary goal of anti-discrimination techniques in data mining. Discrimination can be either direct or indirect. Direct discrimination occurs when decisions are made based on sensitive attributes. Indirect discrimination occurs when decisions are made based on non-sensitive attributes which are strongly correlated with biased sensitive ones. This paper aims at identifying potential discrimination using an acceptable level of discrimination. In this paper we tackle discrimination prevention in data mining and propose new techniques applicable for direct or indirect discrimination prevention individually or both at the same time. For this we use Natural Language Processing approach.. |
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