2AMI20 Advanced Process Mining

Understanding and predicting behavior of people and machines in a shared setting (task, project, factory, process, organization) is central to Data Science and Artificial Intelligence. Actions of people and machines can be recorded as discrete events in event sequences (logs), event databases (tables, graphs), and real-time event streams. Learning behavioral models of discrete event data Read More …

2IAB0 Data analytics for engineers

Learning goals Students gain insight in basic techniques for processing large amounts of data in an efficient, reliable, and consistent way. Students develop skills in understanding, interpreting, and documenting data and information in the context of realistic scenarios. Students get understanding of the data life cycle and develop skills for structuring their solutions of practical Read More …

Emergency and Operating rooms at HagaZiekenhuis

Two of the most important parts of a hospital are the Emergency room and the Operating room. HagaZiekenhuis deals with tens of thousands of patients every year. For each patient, everything is recorded in the Electronic Patient Record (Chipsoft Hix). Exploring the data recorded by both areas of the hospital opens the possibilities to understand Read More …

Happy nurses

The biggest problem that Dutch hospitals face today is the lack of nursing staff. Therefore, hospital beds are closed to maintain safety levels for the already admitted patients. However, patients on the waiting list or those already planned for elective care experience longer waiting times. And sometimes emergency care beds have to be closed causing Read More …

Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives

Li, G., De Carvalho, R. M., & van der Aalst, W. M. P. (2019). Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives. In Proceeding SAC ’19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 48-56). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3297280.3297287 Abstract In order to maintain Read More …

An approach for workflow improvement based on outcome and time remaining prediction

Galdo Seara, L., & De Carvalho, R. M. (2019). An approach for workflow improvement based on outcome and time remaining prediction. In S. Hammoudi, B. Selic, & L. F. Pires (Eds.), MODELSWARD 2019 – Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development (pp. 475-482). Setúbal: SCITEPRESS-Science and Technology Publications, Lda.. DOI: Read More …

A model-based framework to automatically generate semi-real data for evaluating data analysis techniques

Li, G., de Carvalho, R. M., & van der Aalst, W. M. P. (2019). A model-based framework to automatically generate semi-real data for evaluating data analysis techniques. In J. Filipe, A. Brodsky, M. Smialek, & S. Hammoudi (Eds.), ICEIS 2019 – Proceedings of the 21st International Conference on Enterprise Information Systems (pp. 213-220). SCITEPRESS-Science and Read More …

Dealing with artifact-centric systems: a process mining approach

Li, G., & de Carvalho, R. M. (2018). Dealing with artifact-centric systems: a process mining approach. In M. Fellmann, & K. Sandkuhl (Eds.), Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018): Rostock, Germany, May 24th to 25th, 2018. (pp. 80-84). (CEUR Workshop Proceedings; Vol. 2097). CEUR-WS.org. Abstract Process Read More …

Process mining in social media: applying object-centric behavioral constraint models

Li, G., & de Carvalho, R. M. (2019). Process mining in social media: applying object-centric behavioral constraint models. IEEE Access, 7, 84360-84373. [8746275]. DOI: 10.1109/ACCESS.2019.2925105 Abstract The pervasive use of social media (e.g., Facebook, Stack Exchange, and Wikipedia) is providing unprecedented amounts of social data. Data mining techniques have been widely used to extract knowledge Read More …

Run 4 of “Process Mining in Healthcare” MOOC starts on April 1st, 2019

On April 1, 2019, the fourth run of the free FutureLearn online course ‘Process mining in healthcare’ will start, register now! We are happy to be able to run this course again, after over 2,500 students registered for the first three runs. Healthcare in particular has come under increasing pressure to reduce cost while improving Read More …

Configurable event correlation for process discovery from object-centric event data

Li, Guangming, Medeiros De Carvalho, Renata & van der Aalst, Wil M.P. (2018). Configurable event correlation for process discovery from object-centric event data. Proceedings – 2018 IEEE International Conference on Web Services, ICWS 2018 – Part of the 2018 IEEE World Congress on Services (pp. 203-210). Institute of Electrical and Electronics Engineers (IEEE). Abstract Many Read More …

Data Science: Developing a Self-Standing Dynamic reporting tool

A huge amount of (transaction) data is generated on a daily basis in ASML Development and Engineering department. The data is scattered in different sources. The challenge would be extracting data from relevant sources and creating a self-standing dynamic reporting tool (dashboard) demonstrating performance of (Supplier Quality) Engineers in different granularity levels (Department, Section, Individual) Read More …

Print media identification based on sensor data (with Océ)

Océ is a Netherlands-based company that develops, manufactures and sells printing and copying hardware and related software. Their cut-sheet production printers are used to produce millions of prints on a daily basis. Print jobs may involve printing on different paper stock, which is loaded in the various paper trays of the machine. Print operators are Read More …

Dealing with artifact-centric systems : a process mining approach

Li, Guangming & de Carvalho, Renata Medeiros (2018). Dealing with artifact-centric systems : a process mining approach. CEUR Workshop Proceedings, 2097, 80-84. Abstract Process mining provides a series of techniques to analyze business processes based on execution data in enterprises. It has been successfully applied to classical processes on WFM/BPM systems, in which one process Read More …

PhD position on Model Adaptability for Privacy-Aware Process Mining (V32.3349)

In the context of the EU H2020 project BPR4GDPR (Business Process Re-engineering and functional toolkit for GDPR compliance), a PhD position is open at the Process Analytics (PA) group in TU/e’s Department for Mathematics and Computer Science in the domain of Model Adaptability. Position PhD-student Department(s) Department of Mathematics & Computer Science Institutes Data Science Read More …

Extracting object-centric event logs to support process mining on databases

Li, Guangming, de Murillas, Eduardo González López, de Carvalho, Renata Medeiros & van der Aalst, Wil M.P. (2018). Extracting object-centric event logs to support process mining on databases. In H. Mouratidis & J. Mendling (Eds.), Information Systems in the Big Data Era – CAiSE Forum 2018, Proceedings (pp. 182-199). (Lecture Notes in Business Information Processing, Read More …

2IMI00 Seminar AIS

In this seminar, a group of master students will get in touch with research in the area of Information Systems, where Process Mining and Process Analysis from Event Data are the central themes. We study recent publications in the area of process mining and practical applications on real-life examples, to provide a good insight into Read More …

2IMI05 Capita selecta process analytics

People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be organized in an ad-hoc manner taking into account the interests of the student. The focus will always be on a particular ‘hot topic’ in the information systems domain. The course can, in Read More …

JBG030 DBL Data Challenge

The objective of the Data Challenge courses is to teach students how to perform large-scale data-driven analyses themselves, combining the technical skills acquired earlier in the Data Science program with insights gained in methodological courses. In the first Data Challenge 1, students will get the possibility to apply the methods and techniques acquired during the Read More …

JM0200 Data Entrepreneurship in Action 3

In this course, students will get the possibility to apply the methods and techniques acquired in parallel courses. The task for the students is to technically analyze the data received by identifying the right techniques to use, implementing them in a repeatable form, and reflecting on the validity of their results and the suitability of Read More …

BPR4GDPR

Business Process Re-engineering for General Data Protection Regulation Description The goal of BPR4GDPR is to provide a holistic framework able to support end-to-end GDPR-compliant intra- and interorganisational ICT-enabled processes at various scales, while also being generic enough, fulfilling operational requirements covering diverse application domains. To this end, proposed solutions will have a strong semantic foundation Read More …

Publications in 2017

Article Scientific peer reviewed Arriagada-Benítez, M., Sepúlveda, M., Munoz-Gama, J. & Buijs, J.C.A.M. (2017). Strategies to automatically derive a process model from a configurable process model based on event data. Applied Sciences, 7(10):1023. Bolt, A., de Leoni, M. & van der Aalst, W.M.P. (2017). Process variant comparison: using event logs to detect differences in behavior Read More …