amplitude
发表于 2025-3-23 11:37:22
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Morbid
发表于 2025-3-23 14:00:10
ut by any process mining technique. This notion is related to the well-known OLAP (Online Analytical Processing) data cubes, adapting the OLAP paradigm to event data through .. This adaptation is far from trivial given the nature of event data which cannot be easily summarized or aggregated, conflic
Forsake
发表于 2025-3-23 20:09:04
Dietmar Hornungut by any process mining technique. This notion is related to the well-known OLAP (Online Analytical Processing) data cubes, adapting the OLAP paradigm to event data through .. This adaptation is far from trivial given the nature of event data which cannot be easily summarized or aggregated, conflic
热情的我
发表于 2025-3-23 23:19:41
Dietmar Hornungexploring, evaluating, and enhancing modeling methods and methodologies for the analysis and design of information systems, enterprises, and business processes. They are grouped into topical sections on fundamental issues in modeling, requirements and regulations, enterprise and software ecosystem m
profligate
发表于 2025-3-24 06:07:01
Dietmar Hornung), the discovery of social networks in a process context becomes truly scalable. The approach has been implemented using the open source process mining toolkit ProM. The experiments reported in this paper demonstrate scalability while providing results instantly.
没收
发表于 2025-3-24 10:21:35
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合乎习俗
发表于 2025-3-24 12:01:43
Dietmar Hornung), the discovery of social networks in a process context becomes truly scalable. The approach has been implemented using the open source process mining toolkit ProM. The experiments reported in this paper demonstrate scalability while providing results instantly.
finale
发表于 2025-3-24 16:08:02
), the discovery of social networks in a process context becomes truly scalable. The approach has been implemented using the open source process mining toolkit ProM. The experiments reported in this paper demonstrate scalability while providing results instantly.
FIR
发表于 2025-3-24 23:05:26
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PAC
发表于 2025-3-25 01:03:05
Dietmar Hornung), the discovery of social networks in a process context becomes truly scalable. The approach has been implemented using the open source process mining toolkit ProM. The experiments reported in this paper demonstrate scalability while providing results instantly.