Volume & Issue no: Volume 3, Issue 7, July 2014
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Title: |
A UNIFIED APPROACH TO DIRECT AND INDIRECT DISCRIMINATION PREVENTION USING DATA RANSFORMATION |
Author Name: |
Ms Megha Sonawane, Prof Rupali Mahajan |
Abstract: |
ABSTRACT
In data mining, discrimination is a very important issue when considering the legal and ethical aspects of privacy preservation. It
is more clear that most of the people do not have a wish to discriminated based on their race, nationality, religion, age and so on.
This problem mainly arises when these kind of attributes are used for decision making purpose such as giving them a job and
loan. For this reason discovering such attributes and eliminating them from the training data without affecting their decisionmaking
utility is essential. So we introduce an antidiscrimination techniques which including discrimination discovery and
prevention. Discrimination is two types. Direct ,indirect. Direct discrimination is occurs when decision making is based upon
some sensitive attributes. Indirect discrimination is occurs when decision making is based upon non sensitive attributes which
are correlated with sensitive attributes. There are many new techniques propose for solving discrimination prevention
problems by applying direct or indirect discrimination prevention individually or both at the same time. New metrics to
evaluate the utility were propose and are compare with approaches. The propose work discusses how privacy preservation
and prevention between discrimination is implement with the help of post processing approach. The Classification based on
predictive association rules(CPAR).
Keywords — CPAR,Direct discrimination, Indirect discrimination, RG etc |
Cite this article: |
Ms Megha Sonawane, Prof Rupali Mahajan , "
A UNIFIED APPROACH TO DIRECT AND INDIRECT DISCRIMINATION PREVENTION USING DATA RANSFORMATION" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 3, Issue 7, July 2014 , pp.
306-312 , ISSN 2319 - 4847.
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