Purpose Supply chains must rebuild for resilience to respond to challenges posed by
systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

In this research we explore the current state of chronic diseases in the United States, using
data from the Centers for Disease Control and Prevention and applying visualization and …

Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

Today, in many spheres of human activity, massive amounts of data are collected and
stored. As the volumes of data available to lawmakers, civil servants, business people and …

System theoretic approaches to action recognition model the dynamics of a scene with
linear dynamical systems (LDSs) and perform classification using metrics on the space of …

In today's applications data is produced at unprecedented rates. While the capacity to collect
and store new data rapidly grows, the ability to analyze these data volumes increases at …

Investigative analysts who work with collections of text documents connect embedded
threads of evidence in order to formulate hypotheses about plans and activities of potential …

In today's applications data is produced at unprecedented rates. While the capacity to collect
and store new data grows rapidly, the ability to analyze these data volumes increases at …

Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …