Master Thesis - Investigating Variability and Event Log Characteristics (Joint project with FBK in Trento, Italy)

Kontakt

Chiara Di Francescomarino

Name

Chiara Di Francescomarino

Telefon

work
+39 0461 314052

E-Mail

E-Mail

Kontakt

Chiara Ghidini

Name

Chiara Ghidini

Telefon

work
+39 0461 314395

E-Mail

E-Mail
 

Note: This thesis project involves working at Fondazione Bruno Kessler (FBK), one of the top research institutes in ICT in Italy (located in Trento)

Description

In the field of process mining, several metrics to analyze the relation between event logs and process models (e.g., metrics for computing fitness and precision of models with respect to event logs) have been proposed and investigated in detail. However, metrics specifically focusing on log characteristics (e.g., event log variability) before applying process mining techniques received much less attention. Log-based metrics are less consolidated and commonly agreed within the Process Mining (PM) community. Metrics measuring event log characteristics, however, can be very useful in order to detect in advance characteristics of the log for which specific discovery or predictive process monitoring techniques (e.g., declarative versus procedural process discovery, incremental versus non-incremental predictive monitoring techniques) perform well. For example, based on event log characteristics, it may be known beforehand that it will be impossible to discover a precise process model or to make accurate predictions that perform significantly better than guessing the average.

The purpose of the internship/thesis is to explore new metrics for measuring different characteristics of event logs. These metrics can then be used for identifying correlations between the logs and the effectiveness of process mining techniques, and hence for evaluating the suitability of different process discovery and predictive process monitoring techniques for event logs with different characteristics.

The project starts with creating a survey of existing log metrics, process mining tasks, and quality measures. Then a well-defined set of metrics and tasks is defined. Based on large-scale experimentation, machine learning models are created to predict the quality of the result and to pick a suitable technique. This requires developing an experimental framework using existing techniques for process mining. Experimentation is done based on publicly available data (both synthetic data with a known ground truth and real-life data)

The project aims to combine the expertise at RWTH on process discovery algorithms and the expertise at FBK on predictive process monitoring techniques. The idea is to spend at least half of the time in Trento using an Erasmus+ scholarship.

About FBK

PDI (Process & Data Intelligence) is a Research Unit of the Information Technology Center, at Fondazione Bruno Kessler (FBK). Dr. Chiara Ghidini and Dr. Chiara Di Francescomarino are experts in predictive process mining. PDI provides master projects supported through Erasmus+. FBK is located in Trento, Italy. FBK has over 400 permanent researchers, 140 doctoral students, 200 visiting fellows and thesis students. FBK is very strong in the field Information and Communication Technology, also specializing in topics such as AI and Data Science.

Erasmus+ traineeship program

This thesis project is offered in the context of the Erasmus+ traineeship program. This means that students needs to apply her/himself. Some basic information:

Time period:

  • To be eligible for funding, the internship must last at least 60 days (preferably 3-6 months).
  • Students can be funded by Erasmus for a total of twelve months per academic cycle.

Who can Participate:

  • German and international students in any course of study can apply as long as they are enrolled in a degree program at RWTH Aachen and have an internship place.

Target Countries by Country Group

  • Country Group 1, 555 Euros funding per month: Denmark, Finland, France, Great Britain, Italy, Ireland, Liechtenstein, Norway, Austria, Sweden

Which internships are funded?

  • Erasmus+ funds qualified industry internships from two months (60 days) to twelve months. Eligible host companies include businesses in the public and private sector, regardless of size, legal form, or industrial sector, including social economy. Research internships at universities, including as part of a final project or thesis, can also be funded through the current Erasmus+ partial program. FBK is considered to be in the first category.

How can you apply?

  • First make sure there is an agreement with the supervisors on both the RWTH and FBK side.
  • After the commitment is there from the supervisors, the student should apply online https://rwthaachen.moveon4.de/locallogin/5b97aec185fb96c949d78223/eng# and upload the requested documents – as listed below – as PDF files. Please have the enterprise that you'll be visiting – the receiving organization – and your faculty – the sending institution – fill out or sign the Learning Agreement for Traineeships. (Please note, Sufficient language skills in the working language must be documented - at least Level B1 of the European Framework of Reference.) The best option is to use English.
  • The application will only be successful if it is properly motivated. The motivation should be content-related (why this project and why visit FBK), show how this adds to your study program, explain why you want to do this, and tell why you are the right person to do this.
  • You must sign a contract stating that you are not receiving double funding.

Required Documents and Learning Agreement for Traineeships to Provide when applying.

  • Learning Agreement for Traineeships
  • Current transcript of records
  • Certificate of enrollment
  • Resume
  • Proof of language skills
  • Statement of motivation, maximum of two DIN A4 pages
  • You are personally responsible for sufficient insurance coverage, that is health, accident, and liability insurance, during your stay abroad. Check early on to make sure whether or not your insurance is valid abroad and for what.
  • DAAD offers Erasmus+ funded students affordable group insurance tailored towards internships abroad. Here you can find more information about the DAAD group insurance Tarif 720.
  • You are personally responsible for sufficient insurance coverage, that is health, accident, and liability insurance, during your stay abroad. Check early on to make sure whether or not your insurance is valid abroad and for what.
  • DAAD offers Erasmus+ funded students affordable group insurance tailored towards internships abroad. Here you can find more information about the DAAD group insurance Tarif 720.

Please check the most current information. The above information is just to provide an idea of the require materials and constraints.

For more information please use the following link: https://www.rwth-aachen.de/go/id/bwyt/lidx/1. Study the information carefully. If you get stuck, contact . is the coordinator of the Erasmus+ traineeship program for Informatik, RWTH Aachen.

Supervisors

Prof.Dr.ir. Wil van der Aalst (RWTH), Dr. Chiara Ghidini, and Dr. Chiara Di Francescomarino (FBK)