Access to large numbers of data sources introduces new problems for users of heterogeneous distributed databases. End users and application programmers must deal with unavailable ...
Anthony Tomasic, Louiqa Raschid, Patrick Valduriez
This study presents a practical solution for data collection and restoration to migrate a process written in high level stack-based languages such as C and Fortran over a network ...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Modeling the semantics of business services and their corresponding messages using ontologies enables flexible integration that is more adaptive to business-driven change. In thi...
Tomas Vitvar, Matthew Moran, Maciej Zaremba, Armin...
Coordinating security policies in information enclaves is challenging due to their heterogeneity and autonomy. Administrators must reconcile the semantic diversity of data and sec...
John Hale, Pablo Galiasso, Mauricio Papa, Sujeet S...