We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
Incomplete information arises naturally in numerous data management applications. Recently, several researchers have studied query processing in the context of incomplete informat...
Abstract-- Mapping mashups are emerging Web 2.0 applications in which data objects such as blogs, photos and videos from different sources are combined and marked in a map using AP...
Anthony K. H. Tung, Beng Chin Ooi, Dongxiang Zhang
This paper addresses the problem of optimizing the packet transmission schedule in an ad hoc network with end-toend delay constraints. The emphasis is to determine the proper rela...