Organisatieprofiel

Highlighted phrase

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

 

Over de organisatie

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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Projecten 2016 2021

Interoperability of Heterogeneous IoT Platforms

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

1/01/1631/12/18

Project: Onderzoek direct

Onderzoeksoutput 1969 2019

Adversarial balancing-based representation learning for causal effect inference with observational data

Du, X., Sun, L., Duivesteijn, W., Nikolaev, A. & Pechenizkiy, M., 30 apr 2019, In : arXiv. 17 blz., 1904.13335v1

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

Open Access
Bestand
Education
Experiments
Deep learning

A framework to evaluate and compare decision-mining techniques

Jouck, T., de Leoni, M. & Depaire, B., 29 jan 2019, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Daniel, F., Sheng, Q. Z. & Motahari, H. (redactie). Cham: Springer, blz. 482-493 12 blz. (Lecture Notes in Business Information Processing; vol. 342)

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Mining
Evaluate
Evaluation
Decision Model
Framework

A general framework to identify software components from execution data

Liu, C., van Dongen, B. F., Assy, N. & van der Aalst, W. M. P., 5 mei 2019, ENASE 2019 - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering. Spanoudakis, G., Damiani, E., Maciaszek, L. & Maciaszek, L. (redactie). SCITEPRESS-Science and Technology Publications, Lda., blz. 234-241 8 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Reverse engineering
Software architecture
Recovery

Datasets

NASA Crew Exploration Vehicle (CEV) Software Event Log

Leemans, M. (Ontwerper), 4TU.Centre for Research Data, 21 apr 2017

Dataset

Sepsis Cases - event log

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

Dataset

Prijzen

2nd place at the Ngi-NGN informatie scriptieprijs

Niek Tax (Ontvanger), 2015

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

ACM Senior Member

Cassio Polpo de Campos (Ontvanger), 2019

Prijs: AndersFellowships & membershipsWetenschappelijk

Alexander von Humboldt Professorship

Wil van der Aalst (Ontvanger), 2017

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Activiteiten 2007 2018

Machine Learning, better, together.

Joaquin Vanschoren (Spreker)
8 dec 2018

Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

Tutorial on Automatic Machine Learning

Frank Hutter (Spreker), Joaquin Vanschoren (Spreker)
3 dec 2018

Activiteit: Types gesprekken of presentatiesKeynote sprekerWetenschappelijk

Democratizing and Automating Machine Learning

Joaquin Vanschoren (Spreker)
28 aug 2018

Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

Pers/media

06/03/2019 Removing Operational Friction in Shared Services Using Process Mining

Wil van der Aalst

3/06/19

1 item van media-aandacht

Pers / media: Vakinhoudelijk commentaar

06/03/2019 Using Process Mining to Removing Operational Friction in Shared Services

Wil van der Aalst

3/06/19

1 item van media-aandacht

Pers / media: Vakinhoudelijk commentaar

Obituaries for Jan. 25, 2017

George Fletcher

25/07/17

1 item van media-aandacht

Pers / media: Vakinhoudelijk commentaar

Scripties/masterproeven

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

Auteur: Hoogendoorn, G., 20 feb 2017

Begeleider: Reijers, H. (Afstudeerdocent 1), Eshuis, H. (Afstudeerdocent 2), Gonzalez Lopez de Murillas, E. (Afstudeerdocent 2) & Vos, P. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand

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

Auteur: Beishuizen, T., 29 nov 2018

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

Scriptie/masterproef: Master

Active learning for text classification

Auteur: Šostak, T., 24 sep 2018

Begeleider: Vanschoren, J. (Afstudeerdocent 1) & Schaefers, K. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand