Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Abstract. A network of reactions is a commonly used paradigm for representing knowledge about a biological process. How does one understand such generic networks and answer queries...
Ashish Tiwari, Carolyn L. Talcott, Merrill Knapp, ...
Abstract. Sensor networks using mobile robots have recently been proposed to deal with data communication in disruption tolerant networks (DTNs) where an instantaneous end-to-end p...
When reengineering legacy systems, it is crucial to assess if the legacy behavior has been preserved or how it changed due to the reengineering effort. Ideally if a legacy system ...
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...