—The class of isotropic random walk mobility models, including Random Direction mobility model, Random Walk mobility model and Brownian motion mobility model, has been widely use...
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
— We demonstrate a hardware implementation of a complex event processor, built on top of field-programmable gate arrays (FPGAs). Compared to CPU-based commodity systems, our sol...