Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
In the everyday business world, the sourcing process of multiple goods and services usually involves complex negotiations (via telephone, fax, etc) that include discussion of prod...
This paper quantifies the effect of architectural design decisions on the performance of TxLinux. TxLinux is a Linux kernel modified to use transactions in place of locking primit...
Hany E. Ramadan, Christopher J. Rossbach, Donald E...
Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises diļ¬...