A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
Suppose that an organization O wants to do the following: to reveal only part of its network map; to filter unwanted traffic passing through its network; and to route, to the righ...
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
With the increasing complexity of large-scale distributed (LSD) systems, an efficient monitoring mechanism has become an essential service for improving the performance and reliab...
Ehab S. Al-Shaer, Hussein M. Abdel-Wahab, Kurt Mal...
We propose CaliBree, a self-calibration system for mobile wireless sensor networks. Sensors calibration is a fundamental problem in a sensor network. If sensor devices are not prop...
Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Camp...