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» Social Network Discovery Based on Sensitivity Analysis
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ESWS
2009
Springer
14 years 3 months ago
Representing, Querying and Transforming Social Networks with RDF/SPARQL
As social networks are becoming ubiquitous on the Web, the Semantic Web goals indicate that it is critical to have a standard model allowing exchange, interoperability, transformat...
Mauro San Martín, Claudio Gutierrez
CIKM
2007
Springer
14 years 3 months ago
Improving the classification of newsgroup messages through social network analysis
Newsgroup participants interact with their communities through conversation threads. They may respond to a message to answer a question, debate a topic, support or disagree with a...
Blaz Fortuna, Eduarda Mendes Rodrigues, Natasa Mil...
ACMACE
2009
ACM
14 years 1 months ago
Familiars: representing Facebook users' social behaviour through a reflective playful experience
In this paper, we describe the design and development of a social game called Familiars. Inspired by the daemons in Pullman’s “Dark Material” trilogy, Familiars are animal c...
Ben Kirman, Eva Ferrari, Shaun Lawson, Jonathan Fr...
BMCBI
2010
119views more  BMCBI 2010»
13 years 9 months ago
Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics
Background: Robust biomarkers are needed to improve microbial identification and diagnostics. Proteomics methods based on mass spectrometry can be used for the discovery of novel ...
Ali Al-Shahib, Raju Misra, Nadia Ahmod, Min Fang, ...
AAAI
2011
12 years 9 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen