Numerous tools have been proposed to help developers fix software errors and inefficiencies. Widely-used techniques such as memory checking suffer from overheads that limit thei...
Joseph L. Greathouse, Hongyi Xin, Yixin Luo, Todd ...
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Although information retrieval research has always been concerned with improving the effectiveness of search, in some applications, such as information analysis, a more specific ...
In profiling, a tradeoff exists between information and overhead. For example, hardware-sampling profilers incur negligible overhead, but the information they collect is consequen...
Tipp Moseley, Alex Shye, Vijay Janapa Reddi, Dirk ...
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...