文章基本信息

标题：Review on Discrimination Detection and Prevention in Data Mining
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作者：Pravinkumar S. Chavan ; Ram P. Tathe ; Akshay S. Thakare 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：2
页码：2338
DOI：10.15680/IJIRCCE.2016.0402130
出版社：S&S Publications
摘要：Data mining is the emerging technology which is mostly used in knowledge discovery and extraction of information from the available raw data. Due to the fact of quality classification rules and mining models the process of automated decision making has become very efficient.The process of automated decision making leads to the presence of discrimination in the results of mining models. Discrimination is the prejudicial treatment given to an individual by virtue of its association with certain group or categories. There are many factors on which an individual can be treated rationally such as belonging to some sensitive attributes as color, nationality, gender etc this is direct discrimination. There is another type which do not cause due to sensitive attributes but it indirectly depends upon sensitive attributes. Discrimination in data mining is also recognized as the potential problem of concern since automated decision making is employed everywhere now. Flaws in the trained historical data or tending towards or against certain group leads to the formation of discriminatory rules and finally the production of biased mining model
关键词：Data Mining; Data transformation;Discrimination