2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
Universal Dependency Analysis
Hoang-Vu Nguyen, Jilles Vreeken
Most data is multi-dimensional. Discovering whether any subset of dimensions, or subspaces, of such data is significantly correlated is a core task in data mining. To do so, we req…
Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series
Hoang-Vu Nguyen, Jilles Vreeken
Change detection in multivariate time series has applications in many domains, including health care and network monitoring. A common approach to detect changes is to compare the d…
Flexibly Mining Better Subgroups
Hoang-Vu Nguyen, Jilles Vreeken
In subgroup discovery, also known as supervised pattern mining, discovering high quality one-dimensional subgroups and refinements of these is a crucial task. For nominal attribute…
Canonical Divergence Analysis
Hoang-Vu Nguyen, Jilles Vreeken
We aim to analyze the relation between two random vectors that may potentially have both different number of attributes as well as realizations, and which may even not have a joint…