The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (...
As transistor density continues to grow at an exponential rate in accordance to Moore’s law, the goal for many Chip Multi-Processor (CMP) systems is to scale the number of on-ch...
Brian M. Rogers, Anil Krishna, Gordon B. Bell, Ken...
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
The recent shift in the industry towards chip multiprocessor (CMP) designs has brought the need for multi-threaded applications to mainstream computing. As observed in several lim...
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...