Projects per year
Organization profile
Introduction / mission
The research
One of the foundations of computer science today is data. The omnipresence of increasingly large volumes of data has become a key driver for many innovations and new research directions in computer science. Specifically in information systems, data - and the analytics developed on top of this data - have transformed the field from expert-driven to evidence-based, which in turn massively broadens the applicability of results to more and larger contexts. Our main mission is to bridge the gap between process science (BPM, WFM, formal methods, etc.) and data science. This explain the focus on process mining.
Organisational profile
The research 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.
The AIS group tries to make research results accessible by providing (open-source) software. Many advanced process analysis tools and techniques exist today in over 25 commercial packages that were developed in the AIS group over the last 15 years. Our prototyping framework ProM (process mining and process analysis) illustrates that the problems of tomorrow’s practice are the driving force behind the development of new theory, methods, and tools by AIS.
Master's projects
Many master projects are linked to some external organization. Examples are IBM, Pallas Athena, SAP, ING, Deloitte, AMC Hospital, Justice Department, ASML, Philips Medical Systems, Océ, etc.
See the website for more information on the group and its projects.
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Petri nets
Engineering & Materials Science
Industry
Engineering & Materials Science
Information systems
Engineering & Materials Science
Semantics
Engineering & Materials Science
Flow control
Engineering & Materials Science
Specifications
Engineering & Materials Science
Web services
Engineering & Materials Science
Semantic Web
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Xin Du
- Department of Mathematics and Computer Science, Information Systems W&I - Doctoral Candidate
- Department of Mathematics and Computer Science, Information Systems WSK&I - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
Decebal C. Mocanu
- Department of Mathematics and Computer Science, Information Systems W&I - Assistant Professor
- Department of Mathematics and Computer Science, Information Systems WSK&I - Assistant Professor
- Department of Mathematics and Computer Science, Data Mining
Person: UD : Assistant Professor
Odysseas Papapetrou
- Department of Mathematics and Computer Science, Information Systems W&I - Assistant Professor
- Department of Mathematics and Computer Science, Information Systems WSK&I - Assistant Professor
Person: UD : Assistant Professor
Projects 2016 2018
- 1 Finished
Interoperability of Heterogeneous IoT Platforms
Liotta, A., Exarchakos, G., van Hout, J., Mocanu, D., Moerenhout, M., Moerenhout, M. & van der Lee, T.
1/01/16 → 31/12/18
Project: Research direct
Research Output 1974 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 p., 1904.13335v1Research output: Contribution to journal › Article › Academic
Open Access
File
Education
Experiments
Deep learning
Evolving and understanding sparse deep neural networks using cosine similarity
Pieterse, J. & Mocanu, D., 17 Mar 2019, In : arXiv. 14 p., 1903.07138v1Research output: Contribution to journal › Article › Academic
Open Access
File
Neurons
Neural networks
Computational complexity
Topology
Experiments
Evolving plasticity for autonomous learning under changing environmental conditions
Yaman, A., Mocanu, D., Iacca, G., Coler, M., Fletcher, G. & Pechenizkiy, M., 2019, In : arXiv. 26 p., 1904.01709v1Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Plasticity
Neurons
Chemical activation
Reinforcement
Genetic algorithms
Press / Media
4th international symposium on data-driven process discovery and analysis (SIMPDA 2014)
Wil van der Aalst, Irene Vanderfeesten & Massimiliano de Leoni
14/05/14
1 item of media coverage
Press/Media: Expert Comment
Student theses
Application-grounded evaluation of predictive model explanation methods
Author: Lin, C., 24 Sep 2018Supervisor: Pechenizkiy, M. (Supervisor 1), van der Zon, S. (Supervisor 2), van Ipenburg, W. (External person) (External coach), Veldsink, J. W. (External person) (External coach) & Papapetrou, O. (Supervisor 2)
Student thesis: Master
File
Design and implementation of generic dashboard components for ExSpect
Author: Hoang, A., 31 Dec 1999Supervisor: Voorhoeve, M. (Supervisor 1), van der Toorn, R. (Supervisor 2) & de Crom, P. (Supervisor 2)
Student thesis: Master
Evolving sparse neural networks using cosine similarity
Author: Pieterse, J., 31 Aug 2018Supervisor: Mocanu, D. (Supervisor 1)
Student thesis: Master
File