In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacypreserving protocol for filling in missing values using a lazy deci...
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...