Review on privacy preservation method by applying discrimination rules in data mining

Priya Meshram, S. Bodkhe
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引用次数: 3

Abstract

In data mining, for considering the legal and ethical aspects of privacy preservation therefore discrimination is crucial. It is clear that most of the people do not have a wish to discriminate 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, loan, Insurance etc. Discrimination is of two types direct discrimination and indirect discrimination. Direct discrimination is based on sensitive information. Indirect discrimination is based on non-sensitive information. In this paper, we mainly focus on anti-discrimination, a method which also helps to detect and prevent discrimination.
基于区分规则的数据挖掘隐私保护方法综述
在数据挖掘中,考虑隐私保护的法律和道德方面,因此歧视是至关重要的。很明显,大多数人不希望基于他们的种族、国籍、宗教、年龄等进行歧视。这个问题主要出现在这些属性用于决策目的时,比如给他们工作、贷款、保险等。歧视有直接歧视和间接歧视两种。直接歧视是基于敏感信息。间接歧视是基于非敏感信息。在本文中,我们主要关注反歧视,一种有助于发现和预防歧视的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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