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CIKM
1997
Springer
15 years 9 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
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...
Jie Cheng, David A. Bell, Weiru Liu
139
Voted
ISM
2006
IEEE
132views Multimedia» more  ISM 2006»
15 years 5 months ago
BM-ALM: An Application Layer Multicasting with Behavior Monitoring Approach
IP multicasting is the most efficient way to perform group data distribution, as it eliminates traffic redundancy and improves bandwidth utilization. Application Layer Multicast (...
Dewan Tanvir Ahmed, Shervin Shirmohammadi
158
Voted
CGA
1999
15 years 4 months ago
Visualizing Large Telecommunication Data Sets
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...
GEOS
2007
Springer
15 years 11 months ago
The Gravity Data Ontology: Laying the Foundation for Workflow-Driven Ontologies
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...
CIKM
2004
Springer
15 years 10 months ago
SWAM: a family of access methods for similarity-search in peer-to-peer data networks
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...
Farnoush Banaei Kashani, Cyrus Shahabi