Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Modern computational science applications are becoming increasingly multi-disciplinaty involving widely distributed research teams and their underlying computational platforms. A ...
Hasan Abbasi, Matthew Wolf, Karsten Schwan, Greg E...
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...