activity
20202022
most citedTechnical Report: Refining Case Models Using Cardinality Constraints

3 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SE2022

Event Log Generation: An Industry Perspective

Timotheus Kampik, Mathias Weske

This paper presents the results of an industry expert survey about event log generation in process mining. It takes academic assumptions as a starting point and elicits practitione…

cs.DB20221 cited

Supporting Domain Data Selection in Data-Enhanced Process Models

Jonas Cremerius, Mathias Weske

Process mining bridges the gap between process management and data science by discovering process models using event logs derived from real-world data. Besides mandatory event attr…

cs.OH20211 cited

Data-Enhanced Process Models in Process Mining

Jonas Cremerius, Mathias Weske

Understanding and improving business processes have become important success factors for organizations. Process mining has proven very successful with a variety of methods and tech…

cs.SE2021

Which Event Happened First? Deferred Choice on Blockchain Using Oracles

Jan Ladleif, Mathias Weske

First come, first served: Critical choices between alternative actions are often made based on events external to an organization, and reacting promptly to their occurrence can be…

cs.SE20203 cited

Technical Report: Refining Case Models Using Cardinality Constraints

Stephan Haarmann, Marco Montali, Mathias Weske

Traditionally, business process management focuses on structured, imperative processes. With the increasing importance of knowledge work, semi-structured processes are entering cen…

cs.SE2020

Time in Blockchain-Based Process Execution

Jan Ladleif, Mathias Weske

The traceable execution of business processes and choreographies using smart contracts is one prominent application of blockchain technology in Business Process Management (BPM). E…