DocumentCode
2460002
Title
Review on privacy preservation method by applying discrimination rules in data mining
Author
Meshram, Priya ; Bodkhe, Sonali
Author_Institution
Dept. of C.S.E, Nagpur Univ., Nagpur, India
fYear
2015
fDate
8-10 Jan. 2015
Firstpage
1
Lastpage
5
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.
Keywords
data mining; data privacy; data mining; decision making; direct discrimination; discrimination rules application; ethical aspects; indirect discrimination; legal aspects; privacy preservation method; sensitive information; Algorithm design and analysis; Association rules; Classification algorithms; Data models; Databases; Knowledge discovery; direct and indirect discrimination; discrimination;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location
Pune
Type
conf
DOI
10.1109/PERVASIVE.2015.7087192
Filename
7087192
Link To Document