We explore the framework of permutation-based p-values for assessing the performance of
classifiers. In this paper we study two simple permutation tests. The first test assess whether …

Abstract Knowledge discovery methods often discover a large number of patterns. Although
this can be considered of interest, it certainly presents considerable challenges too. Indeed …

While we instantaneously recognize a face as attractive, it is much harder to explain what
exactly defines personal attraction. This suggests that attraction depends on implicit …

Minimization of the wiring cost of white matter fibers in the human brain appears to be an
organizational principle. We investigate this aspect in the human brain using whole brain …

In this position paper, we discuss how different branches of research on clustering and
pattern mining, while rather different at first glance, in fact have a lot in common and can …

Redescription mining is a powerful data analysis tool that is used to find multiple
descriptions of the same entities. Consider geographical regions as an example. They can …

Hypothesis testing using constrained null models can be used to compute the significance of
data mining results given what is already known about the data. We study the novel problem …

The problem of multiple hypothesis testing arises when there are more than one hypothesis
to be tested simultaneously for statistical significance. This is a very common situation in …

In order to meet the mounting social and economic demands, railway operators and
manufacturers are striving for a longer availability and a better reliability of railway …

Many sorts of structured data are commonly stored in a multi-relational format of interrelated
tables. Under this relational model, exploratory data analysis can be done by using …