Safa Dundar Email & Phone Number

Eindhoven En Omgeving, Nederland

A crucial assumption for process analysis is that events correspond to occurrences of meaningful activities. Often, low-level events recorded by information systems do not directly correspond to these. Abstraction methods, which provide a mapping from the recorded events to activities recognizable by process workers, are needed. Existing supervised abstraction methods require process stakeholders to provide a full model of the entire process as input. This Master-thesis project will investigate techniques that do not rely on this strong assumption.Data-mining techniques will be combined with process mining to cluster sequences of low-level events to generate high-level activities. The centroids of the clusters will likely provide meaningful information for a process stakeholder to identify the high-level activity/ies that correspond to the cluster. To support stakeholders in this identification, visualization techniques will be explored, based on, e.g., heat maps.This approach will be tested and evaluated with real-life event data (and company stakeholders), such as the event data referring to the usage of the werk.nl, where unemployed people can apply for available jobs.

Leusden

The bachelor Thesis serves as a comparison study between the models and heuristics used to optimize inventory levels on multiple echelons used within Pon Logistics and used within the LMI-SBIC project.

Master Of Science (Msc), Business Information Systems

Bachelor Of Science (Bsc), Industrial Engineering & Innovation Sciences

Activities and Societies: Industria

Vwo (Pre - University Education), Science & Health & Engineering + Economy