Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks f...
Transaction-time temporal databases and query languages provide a solid framework for analyzing properties of queries over data streams. In this paper we focus on issues connected...
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
Data prefetching, where data is fetched before CPU demands for it, has been considered as an effective solution to mask data access latency. However, the current client-initiated ...
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...