1 citations · 1 across the 3 of their papers we have counts for
4 papers
Faster optimal univariate microgaggregation
Felix I. Stamm, Michael T. Schaub
Microaggregation is a method to coarsen a dataset, by optimally clustering data points in groups of at least points, thereby providing a -anonymity type disclosure guarantee…
Neighborhood Structure Configuration Models
Felix I. Stamm, Michael Scholkemper, Markus Strohmaier +1
We develop a new method to efficiently sample synthetic networks that preserve the d-hop neighborhood structure of a given network for any given d. The proposed algorithm trades of…
Redescription Model Mining
Felix I. Stamm, Martin Becker, Markus Strohmaier +1
This paper introduces Redescription Model Mining, a novel approach to identify interpretable patterns across two datasets that share only a subset of attributes and have no common…
Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes
Felix I. Stamm, Leonie Neuhäuser, Florian Lemmerich +2
Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, rel…