Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
Abstract. Many SQL queries with aggregated subqueries exhibit redundancy (overlap in FROM and WHERE clauses). We propose a method, called the for-loop, to optimize such queries by ...
We describe computation migration,a new technique that is based on compile-time program transformations, for accessing remote data in a distributed-memory parallel system. In cont...
One common problem in the practical application of volume visualization is the proper choice of transfer functions in order to color different parts of the volume meaningfully. Th...