Query processing in data integration occurs over network-bound, autonomous data sources. This requires extensions to traditional optimization and execution techniques for three re...
Zachary G. Ives, Daniela Florescu, Marc Friedman, ...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
The problem of integrating autonomous data marts arises when, e.g., a large organization (or a federation thereof) needs to combine independently developed data warehouses. It turn...
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Some tasks in a dataspace (a loose collection of heterogeneous data sources) require integration of fine-grained data from diverse sources. This work is often done by end users kn...
David W. Archer, Lois M. L. Delcambre, David Maier