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Titlebook: Data-Driven Process Discovery and Analysis; 5th IFIP WG 2.6 Inte Paolo Ceravolo,Stefanie Rinderle-Ma Conference proceedings 2017 IFIP Inter

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樓主: cerebellum
11#
發(fā)表于 2025-3-23 10:10:30 | 只看該作者
Conceptual Basis of Quantum Mechanicst, we present a verification algorithm to verify the presence of certain constraints in a process model. Then, we present three modification algorithms to modify the process model. The outcome of our approach is a Pareto front of process models based on the constraints specified by the domain expert and common quality dimensions of process mining.
12#
發(fā)表于 2025-3-23 15:14:36 | 只看該作者
Kinship: The Tie that Binds (Disciplines)ets with time series prediction. Our evaluation on the basis of our prototypical implementation demonstrates the merits of this model in terms of better accuracy in the presence of time series effects.
13#
發(fā)表于 2025-3-23 21:21:35 | 只看該作者
14#
發(fā)表于 2025-3-23 23:35:21 | 只看該作者
15#
發(fā)表于 2025-3-24 02:27:01 | 只看該作者
16#
發(fā)表于 2025-3-24 07:37:11 | 只看該作者
Time Series Petri Net Models,ets with time series prediction. Our evaluation on the basis of our prototypical implementation demonstrates the merits of this model in terms of better accuracy in the presence of time series effects.
17#
發(fā)表于 2025-3-24 12:57:18 | 只看該作者
18#
發(fā)表于 2025-3-24 17:18:58 | 只看該作者
Introduction: Nonlocal or Unreal?in behavior. Valuable insights can be gained and process improvements can be made by finding those points in time where behavior changed and the reasons why. Evaluation using both synthetic and real-life event data shows our technique can provide these insights.
19#
發(fā)表于 2025-3-24 20:28:29 | 只看該作者
20#
發(fā)表于 2025-3-25 01:54:03 | 只看該作者
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