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cs.DB2014
KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks
Stephan Günnemann, Hardy Kremer, Matthias Hannen +1
Analyzing high dimensional data is a challenging task. For these data it is known that traditional clustering algorithms fail to detect meaningful patterns. As a solution, subspace…
cs.DB2014★ 1 cited
Linearized and Single-Pass Belief Propagation
Wolfgang Gatterbauer, Stephan Günnemann, Danai Koutra +1
How can we tell when accounts are fake or real in a social network? And how can we tell which accounts belong to liberal, conservative or centrist users? Often, we can answer such…