In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
With processor speeds continuing to outpace the memory subsystem, cache missing memory operations continue to become increasingly important to application performance. In response...
Sorin Iacobovici, Lawrence Spracklen, Sudarshan Ka...
While extensive studies on relation extraction have been conducted in the last decade, statistical systems based on supervised learning are still limited because they require larg...
Seokhwan Kim, Minwoo Jeong, Jonghoon Lee, Gary Geu...
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...