Title :
Randomization techniques in privacy studies
Author :
Rahim, Yahaya Abd ; Sahib, Shahrin
Author_Institution :
Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia
Abstract :
Randomization is one of the most popular techniques that implemented in data mining. Randomization technique prevents selection bias and insures against accidental bias. With produces comparable groups, the technique eliminates the source of bias in any assignments. Finally, in randomization technique, it permits the use of probability theory to express the likelihood of chance as a source for the difference between outcomes. In this paper four common randomization methods are highlighted that are niche with the privacy issues.
Keywords :
data mining; data privacy; probability; randomised algorithms; data mining; privacy studies; probability theory; randomization techniques; selection bias prevention; Randomization; privacy; techniques;
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6