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
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;
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/PERVASIVE.2015.7087192