slugPerformance of Multiplicative Data Perturbation for Privacy Preserving Data Mining
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 7
Abstract
Data mining is a well-known technique for automatically and intelligently extracting information or knowledge from a large amount of data, however, it can also disclosure sensitive information about individuals compromising the individual’s right to privacy. Therefore, privacy preserving data mining has becoming an increasingly important field of research. Privacy preserving data mining is a novel research direction in data mining. In recent years, with the rapid development in Internet, data storage and data processing technologies, privacy preserving data mining has been drawn increasing attention. The goal of privacy preserving data mining is to develop data mining methods without increasing the risk of misuse of the data used to generate those methods. The topic of privacy preserving data mining has been extensively studied by the data mining community in recent years. A number of effective methods for privacy preserving data mining have been proposed. Most methods use some form of transformation on the original data in order to perform the privacy preservation
Authors and Affiliations
Bhupendra Kumar Pandya, Umesh Kumar Singh, Keerti Dixit, Kamal Bunkar
Keywords
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