The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
This presentation will discuss several database technology challenges that are faced when building a data warehouse. It will touch on the challenges posed by high capacity drives ...
One of the most challenging objectives of mobile data management is the ubiquitous, any time, anywhere access. This objective is very difficult to meet due to several network and ...
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...