Neuronal circuits or cell assemblies carry out brain function through complex coordinated firing patterns [1]. Inferring topology of neuronal circuits from simultaneously recorded spike train data is a challenging problem ...

Background There are now a multitude of articles published in a diversity of journals providing information about genes, proteins, pathways, and diseases. Each article investigates subsets of a biological process, but to ...

Twitter has become a popular data source as a surrogate for monitoring and detecting events. Targeted domains such as crime, election, and social unrest require the creation of algorithms capable of detecting events pertinent ...

Data mining approaches have been increasingly applied to the electronic health record and have led to the discovery of numerous clinical associations. Recent data mining studies have suggested a potential association between ...

Challenges with alternative data sources for disease surveillance include differentiating the signal from the noise, and obtaining information from data constrained settings. For the latter, events such as increases in ...

This project research report describes the results of four case studies undertaken as part of Virginia Tech’s “An Epidemiology of Information: Data Mining the 1918 Flu Pandemic,” which was funded through the Digging into ...

In retrospective assessments, internet news reports have been shown to capture early reports of unknown infectious disease transmission prior to official laboratory confirmation. In general, media interest and reporting ...

This paper describes an approach for enforcing dependencies between network traffic and user activities for anomaly detection. We present a framework and algorithms that analyze user actions and network events on a host ...

Social media, e.g.,Twitter, have provided us an unprecedented opportunity to observe events un-folding in real-time. The rapid pace at which situations play out on social media necessitates new tools for capturing and ...

Modern stealthy exploits can achieve attack goals without introducing illegal control flows, e.g., tampering with noncontrol data and waiting for the modified data to propagate and alter the control flow legally. Existing ...