期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：4
页码：16162-16166
DOI：10.18535/ijecs/v5i4.18
出版社：IJECS
摘要：Data mining is the study of data for relationships that have not previously been discovered. In sociology, discrimination is the hurtful treatmentof an individual based on the group, class or category to which that person or things belongs rather than on individual merit: racial and religiousintolerance and discrimination. Along with confidentiality, discrimination is a very essential issue when considering the legal and ethical aspectsof data mining. It is more than obvious that most people do not want to be discriminated because of their race, gender, religion, nationality, ageetc, especially when those attributes are used for making decisions about them like giving them a job, loan, education, insurance etc. Because ofthis reason, antidiscrimination techniques with discrimination discovery as well as discrimination prevention have been introduced in datamining. Discrimination can be either direct or indirect. Direct discrimination occurs when decisions are taken by considering sensitive attributes.Indirect discrimination occurs when decisions are taken on the basis of nonsensitive attributes which are strongly associated with biasedsensitive ones. Here, discrimination prevention in data mining is tackle as well as propose new techniques applicable for direct or indirectdiscrimination prevention individually or both at the same time. Several decision-making tasks are there which let somebody use themselves todiscrimination, such as education, life insurances, loan granting, and staff selection. In many applications, information systems are used fordecision-making tasks
关键词：Data mining; direct and indirect discrimination prevention
