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» Frequent pattern mining with uncertain data
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ROCAI
2004
Springer
13 years 11 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
HICSS
2006
IEEE
124views Biometrics» more  HICSS 2006»
13 years 11 months ago
Gatekeeping in Virtual Communities: On Politics of Power in Cyberspace
Gatekeeping/Information Control is exercised frequently and daily in virtual communities. Gatekeeping exists in four different levels: Regulators, service providers, communitiesâ€...
Karine Barzilai-Nahon
HAIS
2009
Springer
13 years 10 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
DATAMINE
2002
104views more  DATAMINE 2002»
13 years 5 months ago
Cubegrades: Generalizing Association Rules
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...
TKDE
2011
186views more  TKDE 2011»
13 years 21 days ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...