April 11, 2022, 1:11 a.m. | Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M.P. van der Aalst

cs.LG updates on arXiv.org arxiv.org

The real-time prediction of business processes using historical event data is
an important capability of modern business process monitoring systems. Existing
process prediction methods are able to also exploit the data perspective of
recorded events, in addition to the control-flow perspective. However, while
well-structured numerical or categorical attributes are considered in many
prediction techniques, almost no technique is able to utilize text documents
written in natural language, which can hold information critical to the
prediction task. In this paper, we …

ai arxiv business business processes monitoring predictive processes text

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