Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
The proliferation of sensors in devices of frequent use, such as mobile phones, offers unprecedented opportunities for forming selfselected communities around shared sensory data ...
Nam Pham, Raghu K. Ganti, Yusuf S. Uddin, Suman Na...