Partial-order-based process mining: a survey and outlook
The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …
process based on the operational event data generated and stored during its execution …
Conformance checking over uncertain event data
The strong impulse to digitize processes and operations in companies and enterprises have
resulted in the creation and automatic recording of an increasingly large amount of process …
resulted in the creation and automatic recording of an increasingly large amount of process …
Process Mining for Unstructured Data: Challenges and Research Directions
The application of process mining for unstructured data might significantly elevate novel
insights into disciplines where unstructured data is a common data format. To efficiently …
insights into disciplines where unstructured data is a common data format. To efficiently …
Probabilistic and non-deterministic event data in process mining: embedding uncertainty in process analysis techniques
M Pegoraro - arXiv preprint arXiv:2205.04827, 2022 - arxiv.org
Process mining is a subfield of process science that analyzes event data collected in
databases called event logs. Recently, novel types of event data have become of interest …
databases called event logs. Recently, novel types of event data have become of interest …
Resolving uncertain case identifiers in interaction logs: A user study
M Pegoraro, MS Uysal, TH Hülsmann… - arXiv preprint arXiv …, 2022 - arxiv.org
Modern software systems are able to record vast amounts of user actions, stored for later
analysis. One of the main types of such user interaction data is click data: the digital trace of …
analysis. One of the main types of such user interaction data is click data: the digital trace of …
Uncertain case identifiers in process mining: A user study of the event-case correlation problem on click data
M Pegoraro, MS Uysal, TH Hülsmann… - … Conference on Business …, 2022 - Springer
Among the many sources of event data available today, a prominent one is user interaction
data. User activity may be recorded during the use of an application or website, resulting in a …
data. User activity may be recorded during the use of an application or website, resulting in a …
Process mining on uncertain event data
M Pegoraro - arXiv preprint arXiv:2204.04148, 2022 - arxiv.org
With the widespread adoption of process mining in organizations, the field of process
science is seeing an increase in the demand for ad-hoc analysis techniques of non-standard …
science is seeing an increase in the demand for ad-hoc analysis techniques of non-standard …
An XES extension for uncertain event data
Event data, often stored in the form of event logs, serve as the starting point for process
mining and other evidence-based process improvements. However, event data in logs are …
mining and other evidence-based process improvements. However, event data in logs are …
SynBPS: a parametric simulation framework for the generation of event-log data
M Riess - SIMULATION, 2024 - journals.sagepub.com
In the pursuit of ecological validity, current business process simulation methods are
calibrated to data from existing processes. This is important for realistic what-if analysis in …
calibrated to data from existing processes. This is important for realistic what-if analysis in …
Investigating models of stochastic data envelopment analysis
S Farzam, FH Lotfi, H Mesgarani - Journal of Mathematical Extension, 2023 - ijmex.com
Evaluating the efficiency of organizations and institutions is very important for managers.
Today, it is very common to use mathematical methods to evaluate the efficiency of …
Today, it is very common to use mathematical methods to evaluate the efficiency of …