Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Abstract. The validation of models for skills assessment is often conducted by using simulated students because their skills mastery can be predefined. Student performance data is ...
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
This research investigates the automation of security assessment of the static and dynamic properties of cyberinfrastructures, with emphasis on the electrical power grid. We descr...