A framework to support behavioral design pattern detection from software execution data

Liu, Cong, van Dongen, Boudewijn, Assy, Nour & van der Aalst, Wil M.P. (2018). A framework to support behavioral design pattern detection from software execution data. ENASE 2018 – Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering (pp. 65-76). SCITEPRESS-Science and Technology Publications, Lda.. Abstract The detection of design Read More …

Similarity resonance for improving process model matching accuracy

Assy, Nour, van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). Similarity resonance for improving process model matching accuracy. Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018 (pp. 86-93). New York: Association for Computing Machinery, Inc. Abstract Comparing and matching process models is a common task in many process Read More …

DB-XES : Enabling process discovery in the large

Syamsiyah, Alifah, Van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). DB-XES : Enabling process discovery in the large. Data-Driven Process Discovery and Analysis – 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers (pp. 53-77). (Lecture Notes in Business Information Processing, No. 307). BHRA / Springer Verlag. Abstract Dealing with Read More …

Recurrent process mining with live event data

Syamsiyah, Alifah, van Dongen, Boudewijn F. & van der Aalst, Wil M.P. (2018). Recurrent process mining with live event data. Business Process Management Workshops – BPM 2017 International Workshops, Revised Papers (pp. 178-190). (Lecture Notes in Business Information Processing, No. 308). BHRA / Springer Verlag. Abstract In organizations, process mining activities are typically performed in Read More …

A general framework to detect behavioral design patterns

Liu, Cong, Van Dongen, Boudewijn, Assy, Nour & Van Der Aalst, Wil M.P. (2018). A general framework to detect behavioral design patterns. Proceedings – International Conference on Software Engineering (pp. 234-235). IEEE Computer Society. Abstract This paper presents a general framework to detect behavioral design patterns by combining source code and execution data. The framework Read More …

Event stream-based process discovery using abstract representations

van Zelst, S.J., van Dongen, B.F. & van der Aalst, W.M.P. (2018). Event stream-based process discovery using abstract representations. Knowledge and Information Systems, 54(2), 407-435. Abstract The aim of process discovery, originating from the area of process mining, is to discover a process model based on business process execution data. A majority of process discovery Read More …

Discovering workflow nets using integer linear programming

van Zelst, S.J., van Dongen, B.F., van der Aalst, W.M.P. && Verbeek, H.M.W. (2018). Discovering workflow nets using integer linear programming. Computing, 100(5), 529-556. Abstract Process mining is concerned with the analysis, understanding and improvement of business processes. Process discovery, i.e. discovering a process model based on an event log, is considered the most challenging Read More …

2IMI00 Seminar Process Analytics

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 …

2IMI35 Introduction to process mining

Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based Read More …

2IMI30 Business Process Simulation

Organizations are constantly trying to improve the way their businesses perform. To this end, managers have to take decisions on changes to the operational processes. However, these changes are never without consequences and often high costs are involved. Therefore, it is of the utmost importance that these decisions are supported by a thorough analysis 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 …

Process Mining in Logistics

Process Mining in Logistics is a joint project of the Data Science Center Eindhoven and Vanderlande industries. Description Logistics processes are notoriously difficult to design, analyze, and to improve. Where classical processes are scoped around the processing of information associated to a specific unique case, logistics deals with physical objects that are grouped and processed Read More …

Philips Flagship

Description The Data Science Centre Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data and the need for data & process scientists (http://www.tue.nl/dsce/). The DSC/e has recently started a long-term strategic cooperation with Philips Research Eindhoven on three topics: data science, health and lighting. As a first concrete action, 70 PhD Read More …

DeLiBiDa

Desire Lines in Big Data Description The goal of process mining is to extract process-related information from event logs, e.g., to automatically discover a process model by observing events recorded by some information system. Despite recent advances in process mining there are still important challenges that need to be addressed. In particular with respect to Read More …

3TU.BSR

3TU – Big Software on the Run Description Millions of lines of code – written in different languages by different people at different times, and operating on a variety of platforms – drive the systems performing key processes in our society. The resulting software needs to evolve and can no longer be controlled a priori 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 …

Publications in 2016

Article Scientific peer reviewed Van Der Aa, Han, Leopold, H. & Reijers, H.A. (2016). Dealing with behavioral ambiguity in textual process descriptions. Lecture notes in computer science, 9850, 271-288. Scopus. van der Aa, J.H., Reijers, H.A. & Vanderfeesten, I.T.P. (2016). Designing like a pro : the automated composition of workflow activities. Computers in Industry, 75, Read More …

Publications in 2015

Article Scientific peer reviewed Adriansyah, Arya, Munoz Gama, Jorge, Carmona, J., van Dongen, Boudewijn & van der Aalst, Wil (2015). Measuring precision of modeled behavior. Information Systems and e-Business Management, 13(1), 37-67. Claes, Jan, Vanderfeesten, Irene, Pinggera, J., Reijers, Hajo, Weber, B. & Poels, G. (2015). A visual analysis of the process of process modeling. Read More …