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Titlebook: Business Process Management Workshops; BPM 2018 Internation Florian Daniel,Quan Z. Sheng,Hamid Motahari Conference proceedings 2019 Springe

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11#
發(fā)表于 2025-3-23 11:04:14 | 只看該作者
The Repercussions of Business Process Modeling Notations on Mental Load and Mental Effortng of a modeling notation, an individual is confronted with a cognitive load that has an impact on the comprehension of a notation with its underlying formalisms and concepts. To address the cognitive load, this paper presents the results from an exploratory study, in which a sample of 94 participan
12#
發(fā)表于 2025-3-23 14:34:42 | 只看該作者
Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Processd perform analytics. Among the vast amount of data analysis techniques, process mining allows to conform work-flows with heterogeneous multivariate data, enhancing the model understandability and usefulness in clinical environments. However, such applications still find entrance barriers in the clin
13#
發(fā)表于 2025-3-23 18:57:35 | 只看該作者
Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training: The Ceoviding feedback to each student tailored to how the student has performed the procedure each time, improves the effectiveness of the training. Current state-of-the-art feedback relies on Checklists and Global Rating Scales to indicate whether all process steps have been performed and the quality of
14#
發(fā)表于 2025-3-23 23:46:09 | 只看該作者
15#
發(fā)表于 2025-3-24 05:21:55 | 只看該作者
Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotypderstanding of which tasks are critical in the provided care, and may help identify ways to improve them. However, extracting these events and data for patients with complex clinical phenotypes is not a trivial task. This paper provides an approach to identifying specific patient cohorts based on co
16#
發(fā)表于 2025-3-24 10:06:42 | 只看該作者
Pre-hospital Retrieval and Transport of Road Trauma Patients in Queenslandand how the identification of data quality issues can be exploited in the planning, data extraction and log building phases of any process mining analysis. To this end we adapt CRISP-DM [.] to supplement the Planning phase of the PM. [.] process mining methodology to specifically include data unders
17#
發(fā)表于 2025-3-24 11:20:46 | 只看該作者
Lecture Notes in Business Information Processinghttp://image.papertrans.cn/b/image/192358.jpg
18#
發(fā)表于 2025-3-24 16:16:24 | 只看該作者
Business Process Management Workshops978-3-030-11641-5Series ISSN 1865-1348 Series E-ISSN 1865-1356
19#
發(fā)表于 2025-3-24 22:24:13 | 只看該作者
20#
發(fā)表于 2025-3-25 01:12:48 | 只看該作者
,Mediennutzung in der frühen Kindheit,n them define the system behavior. The analysis of such artifact system behavior with traditional process discovery techniques is often problematic due to the existence of many-to-many relationships between artifacts, resulting in models that are difficult to understand and statistics that are inacc
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