Together with others, Felix Mannhardt has won the Best Academic Demo Tool award at ICPM 2020 with their tool demo “Extensions to the bupaR ecosystem: an overview“. Congratulations to Felix and the others!
Sander Leemans, a former PhD student of our group, has won the Process Discovery Contest of 2020 (PDC 2020) with his submission “Directly Follows Model Miner”. Congratulations to Sander!
Today, September 30th, 2020, both ProM 6.10 and ProM Lite 1.3 have been released. These releases fix a bug in the multi-threaded loading of the packages, and also fix a bug in the computation of strongly connected components (which could cause wrong liveness results for Petri nets). Also, support for Java 9 and later has Read More …
Summary In the context of the “Process Mining in Logistics” research project between Vanderlande Industries, we are offering multiple Master projects on process mining on event data of large-scale material handling systems. The fundamental challenges addressed are size (logistics processes are a factor 10-100 larger than business processes), reliable performance analysis and process prediction. We Read More …
Background In the Dutch health care system health care insurance is obligated for all residents. The government sets the basis package and insurers compete based on price and service. Customer service is therefore very important for every health insurance company; especially in the fast changing digital world. As a result customer satisfaction is the most Read More …
Certif-AI: Certification of production process quality through Artificial Intelligence Description Production processes can be made ‘smarter’ by exploiting the data streams that are generated by the machines that are used in production. In particular these data streams can be mined to build a model of the production process as it was really executed – as Read More …
A new PhD position will become available in the PA group to develop and evaluate techniques for mining production processes from sensor data. This PhD position will be funded by NWO on the approved Certif-AI (Certification of production process quality through Artificial Intelligence) project. Below, is a short description for this project. Production processes can Read More …
Graafmans, T. L. F., Türetken, O., Poppelaars, J. J. G. H., & Fahland, D. (Accepted/In press). Process mining for six sigma: a guideline and tool support. Business & Information Systems Engineering, 63(3), 277-300. https://doi.org/10.1007/s12599-020-00649-w. Abstract Process mining offers a set of techniques for gaining data-based insights into business processes from event logs. The literature acknowledges Read More …
The tenth International Business Process Intelligence Challenge is again co-located with ICPM. This challenge provides participants with a real-life event log, and challenges them to analyze these data using whatever techniques available, focusing on one or more of the process owner’s questions or proving other unique insights into the process(es) captured in the event log. Read More …
On April 13, 2020, the sixth 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 …
On April 13, 2020, the twelfth run of the free FutureLearn online course ‘Introduction to process mining with ProM’ will start. Join the 15.000 students who enrolled before you and join the course! Process mining is a novel collection of techniques that connects the areas of data science and business process management. Using process mining Read More …
If you did not join the IEEE Task Force on Process Mining yet, please consider doing so! >> register via https://www.tf-pm.org/subscription/form << The IEEE Task Force on Process Mining (TFPM) was established in October 2009 as part of the IEEE Computational Intelligence Society. The set of activities and members has expanded over the last Read More …
On February 1st, Eva Klijn and Fatemeh Shafiee started working as PhD students in the PA group. Eva started as PhD-TA, and is supervised by Dirk Fahland. Fatemeh started as a PhD student on the TACTICS project, and is supervised by Natalia Sidorova. A big welcome to the both of them!
Do you think you have a good process discovery algorithm? Then submit it to the Process Discovery Contest of 2020 (PDC 2020) as you can win one free registration for the ICPM 2020 conference in Padua, Italy this year. If you submit your algorithm to the automated contest of the PDC 2020, and if your Read More …
Dijkman, R., Gao, J., Syamsiyah, A., van Dongen, B., Grefen, P., & ter Hofstede, A. (2019). Enabling efficient process mining on large data sets: realizing an in-database process mining operator. Distributed and Parallel Databases, 38(1), 227-253. https://doi.org/10.1007/s10619-019-07270-1 Abstract Process mining can be used to analyze business processes based on logs of their execution. These execution Read More …
Processes are everywhere in organizations and modern life is often governed by all kinds of processes, ranging from administrative processes to handle admission to a university to logistic processes to handle packages being delivered to customers who ordered online. Especially in administrative processes, concurrency plays an important role as multiple things can happen in parallel Read More …
In this meeting the student gets insight into the study program. Staff
In this meeting the student gets insight into the study program. Staff
Process mining provides a new means to understand and improve processes in an objective way in a variety of application domains through the analysis of recorded event data. This advanced course on process mining teaches students the fundamental concepts and theoretical foundations of process mining along a complete process mining methodology, and exposes students to Read More …
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 …
