With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

Predictive modeling of large-scale spatio-temporal data is an important but challenging
problem as it requires training models that can simultaneously predict the target variables of …

Bitcoin is a crypto currency system that has been rapidly adopted due to its anonymity and
decentralized properties. Blockchain is the underpinning technology that maintains the …

Multilevel modeling and multi-task learning are two widely used approaches for modeling
nested (multi-level) data, which contain observations that can be clustered into groups …

Predictive modeling uses statistics to predict unknown outcomes. In general, there are two
categories of predictive modeling, parametric and non-parametric. There are many …