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» Modeling Relational Data as Graphs for Mining
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ROCAI
2004
Springer
15 years 9 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
WWW
2010
ACM
15 years 11 months ago
Predicting positive and negative links in online social networks
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...
HICSS
2002
IEEE
130views Biometrics» more  HICSS 2002»
15 years 9 months ago
A Set Theory Based Approach on Applying Domain Semantics to XML Structures
As XML is gathering more and more importance in the field of data interchange in distributed business to business (B2B) applications, it is increasingly important to provide a for...
Wolfgang Schuetzelhofer, Karl M. Göschka
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
13 years 6 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 4 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...