In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Incremental view maintenance has found a growing number of applications recently, including data warehousing, continuous query processing, publish/subscribe systems, etc. Batch pr...
We present novel and efficient methods for on-line testing in FPGAs. The testing approach uses a ROving TEster (ROTE), which has provable diagnosabilities and is also faster than ...
Little is known about how developers think about design during code modification tasks or how experienced developers' design knowledge helps them work more effectively. We pe...
Thomas D. LaToza, David Garlan, James D. Herbsleb,...
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...