Stress-Fracture 发表于 2025-3-23 10:26:02
http://reply.papertrans.cn/20/1929/192805/192805_11.png光明正大 发表于 2025-3-23 14:46:53
http://reply.papertrans.cn/20/1929/192805/192805_12.pngFLIP 发表于 2025-3-23 20:03:36
http://reply.papertrans.cn/20/1929/192805/192805_13.png草率男 发表于 2025-3-23 22:57:51
http://reply.papertrans.cn/20/1929/192805/192805_14.pngosculate 发表于 2025-3-24 04:06:51
A Framework to Support the Validation of Process Mining Inquiriesvelop expectations about what the results might be. Based on these expectations, they then make inquiries and translate them into queries against the log. However, during the analysis, analysts need to evaluate and compare the results of their queries to be able to validate them against their expectALB 发表于 2025-3-24 08:53:51
Microservices-Aware Business Process Modellingre and processes around business outcomes to reap MSA’s benefits. Also, MSA requires the domain model for each microservice to be minimal and avoid coupling with other microservices’ domain entities. However, such coupling might already occur during the design of the business process and then propag大量杀死 发表于 2025-3-24 13:57:42
http://reply.papertrans.cn/20/1929/192805/192805_17.pngWallow 发表于 2025-3-24 16:00:21
T. H. Crook,B. A. Johnson,G. J. Larrabee object-oriented databases storing process data..This paper introduces a characteristics framework from three perspectives originating from studying seminal works in process mining (what should be analyzed), object-centric process modeling (how it should be modeled), and database storage (how it shomaudtin 发表于 2025-3-24 22:25:46
Evaluating Antidepressants and Anxiolyticserent real-life processes. Further, we investigate how predictable next activities in event sequences are. Our study indicates that ordering the events as executed does not necessarily increase the entropy rates of the process. We discuss these findings and their implications for future research.ANTH 发表于 2025-3-25 01:24:31
Otto Benkert,Wolfgang Maier,Karl Rickelstion of temporal tiers, that takes process precedence into account, without the need for heuristic conflict resolution between process discovery and causal discovery. We demonstrate the effectiveness of our approach through experiments using synthetically generated data, and show a proof-of-concept