抛射物
发表于 2025-3-30 09:40:41
Medialität und Gesellschaftskomplexitätial orders to capture uncertainty, and allows for exploiting domain knowledge to (re)order events. Optionally, the approach also generates interleavings to be able to use existing process mining techniques that cannot handle partially ordered event data. The approach has been implemented using ProM and can be applied to any event log.
modish
发表于 2025-3-30 12:38:26
Conformance Checking: A Systemic Viewved instance of a process and a model of that process..In this keynote, we advocate a systemic view on conformance checking. Through a series of examples, we show how a single-instance perspective would result in overlooking deviations and we provide initial ideas to resolve this and we show the theoretic framework to overcome these challenges.
Obliterate
发表于 2025-3-30 18:27:45
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射手座
发表于 2025-3-30 21:08:56
Die Verwandlung der Welt Durch die Medien, and rule-based knowledge graph completion methods out of the box and evaluate them in an experimental study. Additionally, we compare them to two methods that have specifically been designed for activity recommendation.
真繁荣
发表于 2025-3-31 01:31:50
https://doi.org/10.1007/978-3-322-95686-6real-life event logs show that GGNNs can outperform traditional DNNs regarding predictive quality, especially if nodes of an input graph are assumed as events, and the graph’s adjacency matrix only describes event relationships of a process instance prefix.