Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes y...
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...
Background: Broad-based collaborations are becoming increasingly common among disease researchers. For example, the Global HIV Enterprise has united cross-disciplinary consortia t...
Elizabeth K. Nelson, Britt Piehler, Josh Eckels, A...
Previous work on DRAM power-mode management focused on hardware-based techniques and compiler-directed schemes to explicitly transition unused memory modules to low-power operatin...
Victor Delaluz, Anand Sivasubramaniam, Mahmut T. K...