Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Data-Enhanced Process Models in Process Mining   Understanding and improving business processes have become important success
factors for organizations. Process mining has proven very successful with a
variety of methods and techniques, including discovering process models based
on event logs. Process mining has traditionally focussed on control flow and
timing aspects. However, getting insights about a process is not only based on
activities and their orderings, but also on the data generated and manipulated
during process executions. Today, almost every process activity generates data;
these data do not play the role in process mining that it deserves. This paper
introduces a visualization technique for enhancing discovered process models
with domain data, thereby allowing data-based exploration of processes.
Data-enhanced process models aim at supporting domain experts to explore the
process, where they can select attributes of interest and observe their
influence on the process. The visualization technique is illustrated by the
MIMIC-IV real-world data set on hospitalizations in the US.

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The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
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The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas