Organization profile

Highlighted phrase

The section IS studies subjects related to the design, realization, analysis and optimization of information systems.


Organisational profile

The section IS comprises four chairs:

Analytics for Information System

The research of the Analytics for Information Systems (AIS) chair concentrates on formalisms for modeling and methods to discover and analyze models. Fundamental to the research group at the Eindhoven University of Technology is the choice for Petri nets as the language to precisely describe process dynamics also in complex settings at a foundational level. The choice for this language is what distinguishes our research group from research groups in more industrial engineering oriented information systems groups.

Artificial intelligence

The focus of the Artificial Intelligence (AI) research group is primarily on the AI fundamentals, techniques, and tools/frameworks for successful applications of AI, e.g., in data science, automated reasoning, decision support systems, recommender systems, and chemical informatics. We focus on the theoretical foundations, the limits of feasibility, and efficient and scalable realization of AI methodologies and techniques. These investigations are typically driven by real world application partners and challenges.

Database Group

Data-intensive systems are crucial in modern computing, analytics, and data science.  The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of big data.  Current DB group research focuses primarily on problems in the management of massive graphs such as social and biological networks. Expertise within the group is on query language design, query optimization and evaluation, data analytics, data integration, and personalization.

Data Mining

The Data Mining (DM) chair studies techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data.

Fingerprint Dive into the research topics where Information Systems WSK&I is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Industry Engineering & Materials Science
Petri nets Engineering & Materials Science
Information systems Engineering & Materials Science
Process Mining Mathematics
Data mining Engineering & Materials Science
Semantics Engineering & Materials Science
Process Model Mathematics
Learning systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2021

Interoperability of Heterogeneous IoT Platforms

Exarchakos, G., van Hout, J., Mocanu, D. C., van der Lee, T., van Mil, J., van Mil, J. & Exarchakos, G.


Project: Research direct

Research Output 1969 2020

1 Downloads (Pure)

Comparing the expressiveness of downward fragments of the relation algebra with transitive closure on trees

Hellings, J., Gyssens, M., Wu, Y., van Gucht, D., van den Bussche, J., Vansummeren, S. & Fletcher, G. H. L., Mar 2020, In : Information Systems. 89, 16 p., 101467.

Research output: Contribution to journalArticleAcademicpeer-review

Query languages
Data structures
Chemical analysis

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) In : Data Mining and Knowledge Discovery.

Research output: Contribution to journalArticleAcademicpeer-review

Fairness in network representation by latent structural heterogeneity in observational data

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


NASA Crew Exploration Vehicle (CEV) Software Event Log

Leemans, M. (Creator), 4TU.Centre for Research Data, 21 Apr 2017


Sepsis Cases - event log

Mannhardt, F. (Creator), 4TU.Centre for Research Data, 2016



2nd place at the Ngi-NGN informatie scriptieprijs

Niek Tax (Recipient), 2015

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

ACM Senior Member

Cassio P. de Campos (Recipient), 2019

Prize: OtherFellowships & membershipsScientific

Alexander von Humboldt Professorship

Wil van der Aalst (Recipient), 2017

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Activities 2007 2018

Machine Learning, better, together.

Joaquin Vanschoren (Speaker)
8 Dec 2018

Activity: Talk or presentation typesInvited talkScientific

Tutorial on Automatic Machine Learning

Frank Hutter (Speaker), Joaquin Vanschoren (Speaker)
3 Dec 2018

Activity: Talk or presentation typesKeynote talkScientific

Democratizing and Automating Machine Learning

Joaquin Vanschoren (Speaker)
28 Aug 2018

Activity: Talk or presentation typesInvited talkScientific

Press / Media

Why CIOs need to adopt a process mining initiative

Wil M.P. van der Aalst


1 item of Media coverage

Press/Media: Expert Comment

4. The internet will continue to make life better

Joaquin Vanschoren


1 item of Media coverage

Press/Media: Expert Comment

Student theses

A comparative study for process mining approaches in a real-life environment

Author: Hoogendoorn, G., 20 Feb 2017

Supervisor: Reijers, H. (Supervisor 1), Eshuis, H. (Supervisor 2), Gonzalez Lopez de Murillas, E. (Supervisor 2) & Vos, P. (External person) (External coach)

Student thesis: Master


A computational biology framework: a data analysis tool to support biomedical engineers in their research

Author: Beishuizen, T., 29 Nov 2018

Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)

Student thesis: Master

Active learning for text classification

Author: Šostak, T., 24 Sep 2018

Supervisor: Vanschoren, J. (Supervisor 1) & Schaefers, K. (External person) (External coach)

Student thesis: Master