In this paper we combine the best of both worlds. We propose to discover easily understandable models from complex event logs in the form of pattern graphs.
We consider the problem of discovering accurate, yet easily understandable graph-based models from complex event sequence data.
Mining Easily Understandable Models from Complex Event Logs
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This work considers the problem of discovering accurate, yet easily under-standable graph-based models from complex event sequence data, and proposes the ...
The approach proposed by Wiegand et al. (2021) is clearly related to Sqs and Squish but aims to summarise entire complex event sequences, ...
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