The emergence of global-scale online services has galvanized scale-out software, characterized by splitting vast datasets and massive computation across many independent servers. ...
Pejman Lotfi-Kamran, Boris Grot, Michael Ferdman, ...
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
The fundamental drawback of unstructured peer-to-peer (P2P) networks is the flooding-based query processing protocol that seriously limits their scalability. As a result, a signi...
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
Extract-Transform-Load (ETL) processes play an important role in data warehousing. Typically, design work on ETL has focused on performance as the sole metric to make sure that the...
Alkis Simitsis, Kevin Wilkinson, Umeshwar Dayal, M...