Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can...
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Database query languages can be intimidating to the nonexpert, leading to the immense recent popularity for keyword based search in spite of its significant limitations. The holy ...
We are developing a distributed query processor called PIER, which is designed to run on the scale of the entire Internet. PIER utilizes a Distributed Hash Table (DHT) as its comm...
Brent N. Chun, Joseph M. Hellerstein, Ryan Huebsch...