How Object-Centric is Object-Centric Predictive Process Monitoring? Introducing Objects into Object-Centric Predictive Process Monitoring
Summary
The field of process mining is challenged by the complexity of true processes when extracting accurate process behavior and statistics from information systems. Traditional process mining algorithms assume a single case notion, whereas actual processes contain many possible ones, represented by objects.
Object-centric process mining has been introduced as a case-agnostic solution, which mitigates the problem of misleading process behavior and statistics via the object-centric event log (OCEL). It allows multiple case notions which are called object types. Objects have many-to-many relationships with events.
However, when performing predictive process monitoring on OCELs, issues arise when including object information as features due to these many-to-many relationships. This has not been addressed by existing literature.
We propose a heterogeneous object event graph encoding (HOEG), that incorporates events and objects into a graph with different node types.
We evaluate our novel encoding against an extant graph-based encoding and several baselines on the task of remaining time prediction. On our HOEG we employ a heterogeneous graph neural network (GNN) architecture that is converted from a homogeneous one. The HOEG-based GNN learns an optimal way to include object information when forming predictions.
The experiments are executed on three OCELs, one of which is extracted from an operational process at a large Dutch financial institution.
Our results indicate that HOEG outperforms its competition for well-structured OCELs. Furthermore, we argue that HOEG mainly excels when OCELs host informative object attributes and abundant object interactions.
Considering this, we propose HOEG as a promising general technique to leverage the multi-dimensional data structure given in OCELs for tasks like predicting process remaining time.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Lensless imaging and laser writing in 3D
Kooijman, Dennis (2023) -
Trip-lets: Constructability of trip-lets in theory and in practice
Roggen, Tim (2023)A trip-let is an object defined by Walderveen et al. as: a solid, three-dimensional object that, when viewed from three orthogonal directions, shows three different shapes. In this thesis we consider problems related to ... -
Procedural generation of man-made objects: a case study in Gothic window traceries
Vermeulen, Roos (2021)To create a large virtual world, many objects are needed to make this world immersive and interesting. Often, the only way to reduce the costs of creating these objects is by using copies of the same object multiple times ...