Titlebook: Business Process Management; 18th International C Dirk Fahland,Chiara Ghidini,Marlon Dumas Conference proceedings 2020 Springer Nature Swit

协议

Exploring Interpretable Predictive Models for Business Processesexperimental evaluation shows that the proposed model capable of supporting interpretability also provides accurate predictions when compared to existing LSTM models for predicting process behaviour. The evaluation further shows that attention mechanisms in LSTM provide a sound approach to generate

Myelin

Triggering Proactive Business Process Adaptations via Online Reinforcement Learningd may not be optimal over time due to non-stationarity of process environments, data, and cost structures. Here, we use online reinforcement learning as an alternative solution to learn when to trigger proactive process adaptations based on the predictions and their reliability at run time. Experime

Minatory

Ákos Máthé,José Crisólogo de Sales Silvaftware engineering and databases and applications mainly in organizational and management settings. The introduction of big data, with its volume, velocity, variety, and veracity, and the big strides in data science research and practice pose new challenges to this research field. The paper position

Pcos971

Prostaglandins

Medicinal and Aromatic Plants of the Worldr, traditionally, constraints are interpreted logically in a crisp way: a process execution trace conforms with a constraint model if all the constraints therein are satisfied. This is too restrictive when one wants to capture best practices, constraints involving uncontrollable activities, and exce

暗语

Medicinal and Aromatic Plants of the Worlds reflects specific demands in the whole process-data integration spectrum. One particularly important point is the capability of these approaches to flexibly accommodate processes with multiple cases that need to co-evolve. In this work, we introduce and study an extension of coloured Petri nets, c

弯弯曲曲

Medicinal and Aromatic Plants of the Worldnsiderations into account. In this paper, we represent social business process redesign (SBPR) as a constrained optimization problem (COP). Assuming a workforce of human and computer resources, SBPR considers two types of decisions: (1) how to allocate tasks among this workforce and (2) which skills

accordance

Medicinal and Aromatic Plants of Turkeysiness processes lies on the correctness of the execution semantics of models w.r.t. properties like deadlock freedom, liveness, or completion guarantees. However, the question of whether participants are . in working towards completion – or in participating in the process at all – has not been addr

悦耳

浸软

Therapeutic Use of Aleppo Pine (, Mill.),e with a graphical flowchart-like representation that supports their comprehension by analysts. According to the Occam’s Razor principle, a model should encode the process behavior with as few constructs as possible, that is, it should not be overcomplicated without necessity. The simpler the graphi