Entropic relevance: A mechanism for measuring stochastic process models discovered from event data

Research article (Information Systems, 2021) · cited 23× · AI/ML
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Entropic relevance: A mechanism for measuring stochastic process models discovered from event data

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Entropic relevance: A mechanism for measuring stochastic process models discovered from event data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Entropic relevance: A mechanism for measuring stochastic process models discovered from event data. Retrieved May 24, 2026, from https://4ort.xyz/entity/entropic-relevance-a-mechanism-for-measuring-stochastic-process-models-discovered-from-event-data
MLA “Entropic relevance: A mechanism for measuring stochastic process models discovered from event data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/entropic-relevance-a-mechanism-for-measuring-stochastic-process-models-discovered-from-event-data.
BibTeX @misc{4ortxyz_entropic-relevance-a-mechanism-for-measuring-stochastic-process-models-discovered-from-event-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Entropic relevance: A mechanism for measuring stochastic process models discovered from event data}}, year = {2026}, url = {https://4ort.xyz/entity/entropic-relevance-a-mechanism-for-measuring-stochastic-process-models-discovered-from-event-data}, note = {Accessed: 2026-05-24}}
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