The problem of skyline computation has attracted considerable research attention. In the categorical domain the problem becomes more complicated, primarily due to the partially-or...
Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. ...
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
—Caching frequently accessed data items on the client side is an effective technique for improving performance in a mobile environment. Classical cache invalidation strategies ar...
With the explosion in the amount of semi-structured data users access and store in personal information management systems, there is a need for complex search tools to retrieve of...