The tuple space model inspired by Linda has recently been rediscovered by distributed middleware. Moreover, some researchers also applied it in the challenging scenarios involving...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
The dramatic proliferation of sophisticated networks has resulted in a growing need for supporting effective querying and mining methods over such large-scale graph-structured da...
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
The DWS (Data Warehouse Striping) technique is a round-robin data partitioning approach especially designed for distributed data warehousing environments. In DWS the fact tables ar...
Jorge Vieira, Marco Vieira, Marco Costa, Henrique ...