Application of Information Security on Data Mining
Pin Lu · Microcomputer Development · 2005
Privacy preserving is a new and rapidly emerging research area in data mining.Mainly discusses the two methods applied in data mining: value-class membership and value distortion,and forwards the quantifying privacy.The primary task in data mining is the development of models about aggregated data,so it makes use of Bayes' rules to reconstruct the original distribution. And it considers the three different algorithms that differ in when and how distributions are reconstructed:global,byclass,local.Finally,it analyses the execution time of three algorithms,and concludes that global's efficiency is the lowest,and byclass falls in between global and local.