We develop an approach for measuring the effectiveness of online display advertising at the campaign level. We present a Kalman filtering approach to deseasonalize and estimate ...
Joel Barajas, Ram Akella, Marius Holtan, Jaimie Kw...
We present a family of measures of proximity of an arbitrary node in a directed graph to a pre-specified subset of nodes, called the anchor. Our measures are based on three differ...
Amruta Joshi, Ravi Kumar, Benjamin Reed, Andrew To...
Denial-of-service (DoS) attacks significantly degrade service quality experienced by legitimate users by introducing long delays, excessive losses, and service interruptions. The ...
Jelena Mirkovic, Peter L. Reiher, Sonia Fahmy, Ros...
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimenta...
We propose a new approach to optimize the deployment and the sampling rates of network monitoring tools, such as Netflow, on a large IP network. It reduces to solving a stochasti...