activity
20192023
most citedTowards Inconsistency Measurement in Business Rule Bases

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?

Stefan Hill, David Fitzek, Patrick Delfmann +1

Regardless of the domain, forecasting the future behaviour of a running process instance is a question of interest for decision makers, especially when multiple instances interact.…

cs.AI2022★ 2 cited

Measuring Inconsistency in Declarative Process Specifications

Carl Corea, John Grant, Matthias Thimm

We address the problem of measuring inconsistency in declarative process specifications, with an emphasis on linear temporal logic on fixed traces (LTLff). As we will show, existin…

cs.AI2021

Ontology-Based Process Modelling -- Will we live to see it?

Carl Corea, Michael Fellmann, Patrick Delfmann

In theory, ontology-based process modelling (OBPM) bares great potential to extend business process management. Many works have studied OBPM and are clear on the potential amenitie…

cs.AI2021

Measuring Inconsistency over Sequences of Business Rule Cases

Carl Corea, Matthias Thimm, Patrick Delfmann

In this report, we investigate (element-based) inconsistency measures for multisets of business rule bases. Currently, related works allow to assess individual rule bases, however,…

cs.AI2019★ 3 cited

Towards Inconsistency Measurement in Business Rule Bases

Carl Corea, Matthias Thimm

We investigate the application of inconsistency measures to the problem of analysing business rule bases. Due to some intricacies of the domain of business rule bases, a straightfo…