Probabilistic functional integrated networks are powerful tools with which to draw inferences from high-throughput data. However, network analyses are generally not tailored to spe...
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
This paper describes our early experiences with a preproduction Cray XMT system that implements a scalable shared memory architecture with hardware support for multithreading. Unl...
— Bloom filter is a space-efficient randomized data structure for group membership query. It is widely used in networking applications which involve the packet header/content i...
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...