In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Adaptive load distribution is necessary for parallel applications to co-exist e ectively with other jobs in a network of shared, heterogeneous workstations. We present three metho...
Jeremy Casas, Ravi B. Konuru, Steve W. Otto, Rober...
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques ...
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
The massive amount of statistical and text data available from government agencies has created a set of daunting challenges to both research and analysis communities. These proble...