7 citations · 7 across the 4 of their papers we have counts for
4 papers
High-Level Event Mining: Overview and Future Work
Bianka Bakullari, Wil M. P. van der Aalst
Process mining traditionally relies on input consisting of low-level events that capture individual activities, such as filling out a form or processing a product. However, many of…
The Interplay Between High-Level Problems and The Process Instances That Give Rise To Them
Bianka Bakullari, Jules van Thoor, Dirk Fahland +1
Business processes may face a variety of problems due to the number of tasks that need to be handled within short time periods, resources' workload and working patterns, as well as…
High-Level Event Mining: A Framework
Bianka Bakullari, Wil M. P. van der Aalst
Process mining methods often analyze processes in terms of the individual end-to-end process runs. Process behavior, however, may materialize as a general state of many involved pr…
Probability Estimation of Uncertain Process Trace Realizations
Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal +1
Process mining is a scientific discipline that analyzes event data, often collected in databases called event logs. Recently, uncertain event logs have become of interest, which co…