This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
IP multicasting is the most efficient way to perform group data distribution, as it eliminates traffic redundancy and improves bandwidth utilization. Application Layer Multicast (...
displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
Eleftherios Koutsofios, Stephen C. North, Daniel A...
Abstract. A workflow-driven ontology is an ontology that encodes disciplinespecific knowledge in the form of concepts and relationships and that facilitates the composition of serv...
Ann Q. Gates, G. Randy Keller, Leonardo Salayandia...
Peer-to-peer Data Networks (PDNs) are large-scale, selforganizing, distributed query processing systems. Familiar examples of PDN are peer-to-peer file-sharing networks, which su...