Privacy consideration has much significance in the application of data mining. It is very important that the privacy of individual parties will not be exposed when data mining te...
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...