Wouter Duivesteijn
Hi, I'm Wouter, and I'm incurably curious.
I am an Assistant Professor in Data Mining at the
Technische Universiteit Eindhoven.
My research revolves around Exceptional Model Mining (EMM): a local pattern
mining method where we seek subsets of the dataset that are
interesting, which they are if they satisfy two conditions.
On the one hand, they must be interpretable: we must be able to succinctly describe the definition of a subgroup, so that the knowledge that they represent becomes actionable. On the other hand, they must be exceptional: they must display some kind of behavior that sets them apart from the overall population. The scientific challenges revolve around how to efficiently search for subgroups, and how to express exceptional behavior such that the subgroups we find are meaningful.
CV (last updated: September 08, 2023)
Work-life rebalancing
Soon* I will be on paternity leave. This means I will be out of the office
for two months straight. Before and after the paternity leave, I will be on
parental leave, every Friday. So, my working week will be
Monday-Thursday, except during my paternity leave, when I am
out of the office altogether. Please keep these
things in mind when getting in touch. You may of course send me emails at any
time you want, as long as we agree that I will not be reading them while I'm
out of the office.
*it is impossible to predict exactly when a baby comes, so I cannot make
this more precise. I expect my paternity leave to cover roughly all of July
and August. I'll update this when I know more details.
Latest publications
- R.M. Schouten, W. Duivesteijn, P.J. Räsänen, J. Paul,
M. Pechenizkiy: Exceptional Subitizing Range: Exploring Mathematical
Abilities of Finnish Primary School Children with Piecewise Linear
Regression. In: Proceedings of the European Conference on Machine
Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML PKDD 2024), to appear.
- I. Vloothuis, W. Duivesteijn: RMI-RRG: a Soft Protocol to Postulate
Monotonicity Constraints for Tabular Datasets. In: Proceedings of
the 22nd International Symposium on Intelligent Data Analysis
(IDA 2024), Part I, pp. 16-27, 2024.
- P.J.A.M. Mulders, E.R. van den Heuvel, P. Reidsma, W. Duivesteijn:
Introducting exceptional growth mining - Analyzing the impact of soil
characteristics on on-farm crop growth and yield variability.
In: PLOS ONE 19(1):a0296684, 2024.
You can find my full publication list
sorted by category here, and
sorted by year here.
How to Cheat the Page Limit
I am one of the Proceedings Chairs of ECMLPKDD 2024. I am reprising this role
from previous editions: for the 2022 edition, we wrote
a report on our findings, updating our 2020 paper
on How
to Cheat the Page Limit.
Sound of Science #16
Flemish comedian and science fanatic Lieven Scheire presents a podcast at TU/e,
called Sound of
Science. In this podcast, he discusses the last scientific discoveries
and the role of technology in society with researchers and students. In
Episode 16,
he and I talked about my work (in Dutch). NLP researchers are invited to
use this episode as a training set to let their algorithms distinguish a
Vlaams from a Rotterdams accent in the Dutch language.
Gelfilter dataset
In addition to a new data mining method, our IDA 2020 paper also introduces a
dataset, publicly available for research
purposes free of charge. It is a run to failure time series library,
where the primary task is to predict the Remaining Useful Life of a gel
filter in a chemical plant. You can find more details and the dataset itself
here.
Contact information
Miscellaneous