Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Physical database design is important for query performance in a shared-nothing parallel database system, in which data is horizontally partitioned among multiple independent node...
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman