TY  - JOUR
T1  - Model Framework for Sensitive Data Preservation Using Fuzzy
AU - Dhanalakshmi, S. AU - Samath, J. Abdul AU - Ahmed, M.S. Irfan 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 19
SP  - 3708
EP  - 3711
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3708.3711
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3708.3711
KW  - Privacy preserving
KW  -classification
KW  -data transformation
KW  -fuzzy member function
KW  -triangular
AB  - Research on privacy preserving data mining focus on protecting the sensitive data by transforming the data set and also allow using the data for mining purpose. These techniques help to maintain the accuracy of the results as that of original data set. In the proposed research the data set transformation for protecting the sensitive data is done using the fuzzy member functions. We use various fuzzy member functions such as triangular member function, trapezoidal member function and sigmoid member function to convert the original dataset into perturbed dataset. The accuracy of our research is evaluated by comparing the original data set and perturbed data set on applying to various classification algorithms. The results show that it conserves privacy of sensitive data and also produce valid results.
ER  -