Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
The unprecedented growth of data at geographically distributed locations coupled with tremendous improvement in networking capabilities over the last decade strongly motivate the ...
Enterprises may have multiple database systems spread across the organization for redundancy or for serving different applications. In such systems, query workloads can be distrib...
Clusters are now composed of non-uniform nodes with different CPUs, disks or network cards so that customers can adapt the cluster configuration to the changing technologies and t...
Tobias Mayr, Philippe Bonnet, Johannes Gehrke, Pra...
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...