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.

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

    Projects

    Research Output

    A parallel and distributed approach for diversified top-k best region search

    Shahrivari, H., Olma, M., Papapetrou, O., Skoutas, D. & Ailamaki, A., 1 Jan 2020, Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings. Bonifati, A., Zhou, Y., Vaz Salles, M. A., Bohm, A., Olteanu, D., Fletcher, G., Khan, A. & Yang, B. (eds.). OpenProceedings.org, p. 265-276 12 p.

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

    Open Access
  • Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

    Järvelä, S., Gašević, D., Seppänen, T., Pechenizkiy, M. & Kirschner, P. A., 1 Jan 2020, (Accepted/In press) In : British Journal of Educational Technology.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 1 Citation (Scopus)

    Case notion discovery and recommendation: automated event log building on databases

    de Murillas, E. G. L., Reijers, H. A. & van der Aalst, W. M. P., 1 Jul 2020, In : Knowledge and Information Systems. 62, 7, p. 2539-2575 37 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • Prizes

    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

    2-year MSc Scholarship

    Cassio de Campos (Recipient), 1999

    Prize: OtherScholarshipsScientific

    ACM Senior Member

    Cassio P. de Campos (Recipient), 2019

    Prize: OtherFellowships & membershipsScientific

    Activities

    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

    Introduction to Process Mining

    Wil M.P. van der Aalst

    22/06/20

    1 item of Media coverage

    Press/Media: Expert Comment

    The Journey from Process Mining to Process Intelligence

    Wil M.P. van der Aalst

    28/05/20

    1 item of Media coverage

    Press/Media: Expert Comment

    Beyond human: How artificial intelligence is evolving all by itself

    Joaquin Vanschoren

    20/04/20

    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

    File

    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

    File