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» SCAN: a structural clustering algorithm for networks
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FLAIRS
2004
15 years 1 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
101
Voted
BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
102
Voted
TVCG
2008
119views more  TVCG 2008»
14 years 11 months ago
Exploration of Networks using overview+detail with Constraint-based cooperative layout
A standard approach to large network visualization is to provide an overview of the network and a detailed view of a small component of the graph centred around a focal node. The u...
Tim Dwyer, Kim Marriott, Falk Schreiber, Peter J. ...
WWW
2010
ACM
15 years 6 months ago
Mind the data skew: distributed inferencing by speeddating in elastic regions
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such hi...
Spyros Kotoulas, Eyal Oren, Frank van Harmelen
93
Voted
COMPSAC
2008
IEEE
15 years 1 months ago
Fabrication of Ontology for Security in Health Care Systems
Given the widespread intimidation state of affairs, there is a gripping want to enlarge architectures, algorithms, and protocols to apprehend a trustworthy network infrastructure....
J. Indumathi, G. V. Uma