On Privacy Protection Of Data in National College Entrance Examination and Admission Based on Association Rule Mining
Huan Zhou · Journal of Southwest China Normal University · 2013
To provide scientific and rational basis for reform of college entrance examination system,the entrance examination management departments provide data of college entrance examination candidates to research institutions for data mining and research.At the same time,they hope that the data can be pretreated with a series of measures to protect candidates'privacy.In this paper,the algorithm of associated rule has been applied to analyze and mining the data of the students in order to discover the associated information behind database.The student privacy is protected and the computational amount of k-anonymity is reduced through less publishing the information which is not so important and so strong related to sensitive attribution.Through the experiment,the proposed methodology and process is simple and be helpful for the decision of the departments which provide the data.