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.

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    Research Output

    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

  • 1 Downloads (Pure)

    Enabling efficient process mining on large data sets: realizing an in-database process mining operator

    Dijkman, R., Gao, J., Syamsiyah, A., van Dongen, B., Grefen, P. & ter Hofstede, A., 1 Mar 2020, In : Distributed and Parallel Databases. 38, 1, p. 227-253 27 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 5 Downloads (Pure)

    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

    Open Access
  • Datasets

    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


    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

    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