Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applicatio...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
Effective discovery and sharing of process models within and/or across enterprises are important in process model management. A semantic annotation approach has been applied for sp...
Yun Lin, Darijus Strasunskas, Sari Hakkarainen, Jo...
System-on-Chip (SOC) and other complex distributed hardware/software systems contain heterogeneous components such as DSPs, micro-controllers, application specific logic etc., whi...
Deepak Mathaikutty, Hiren D. Patel, Sandeep K. Shu...
MDM is a tool that enables the users to de ne schemes of di erent data models and to perform translations of schemes from one model to another. These functionalities can be at the...
Fast networks have made it possible to coordinate distributed heterogeneous CPU, memory, and storage resources to provide a powerful platform for executing high-performance applic...