Instruction set customization accelerates the performance of applications by compressing the length of critical dependence paths and reducing the demands on processor resources. W...
Sami Yehia, Nathan Clark, Scott A. Mahlke, Kriszti...
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
The popularity of Service Oriented Computing (SOC) brings a large number of distributed, well-encapsulated and reusable services all over internet, and makes it possible to create...
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...