A New Approach To Maintain Privacy And Accuracy In Classification Data Mining
Gopal Krishna, G. V. Ajaresh, Kumar Naik, Parshu Ram Dhungyel · 2012
Privacy preserving classified data mining is one of the latest technical fields of data mining in recent years. Transforming the original data in order to maintain accuracy if we apply classification mining on original and transformed data is the key point of the privacy preservation. This paper proposes a privacy preserving method based on the random perturbation matrix. This method is suitable to the data of the character type, the Boolean type, the hierarchical type etc.