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Titlebook: Business Process Management Workshops; BPM 2023 Internation Jochen De Weerdt,Luise Pufahl Conference proceedings 2024 The Editor(s) (if app

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發(fā)表于 2025-3-21 16:46:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Business Process Management Workshops
期刊簡(jiǎn)稱(chēng)BPM 2023 Internation
影響因子2023Jochen De Weerdt,Luise Pufahl
視頻videohttp://file.papertrans.cn/193/192353/192353.mp4
學(xué)科分類(lèi)Lecture Notes in Business Information Processing
圖書(shū)封面Titlebook: Business Process Management Workshops; BPM 2023 Internation Jochen De Weerdt,Luise Pufahl Conference proceedings 2024 The Editor(s) (if app
影響因子This book constitutes revised papers from the International Workshops held at the 21st International Conference on Business Process Management, BPM 2023, in Utrecht, The Netherlands, during September 2023..Papers from the following workshops are included:.? 7th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023).? 7th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2023).? 19th International Workshop on Business Process Intelligence (BPI 2023).? 16th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2023).? 2nd International Workshop on Data-Driven Business Process Optimization (BPO 2023).? 11th International Workshop on Declarative, Decision and Hybrid Approaches to Processes (DEC2H 2023).? 1st International Workshop on Digital Twins for Business Processes (DT4BP 2023).? 1st International Workshop on Formal Methods for Business Process Management (FM-BPM 2023)?.? 2nd International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2023).? 1st International Workshop on Object-Centric Processes from A to Z (OBJECTS 2023).? 3rd Internation
Pindex Conference proceedings 2024
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Medienanalyse als Beobachtung und als Kritik view their operational processes from any perspective using a single source of truth. However, OCED is not suitable for low-level machine data that contain a mixture of continuous measurements (e.g., time series data describing position, temperature, force, speed, etc.) and discrete events. Therefo
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1865-1348 Processing for Business Process Management (NLP4BPM 2023).? 1st International Workshop on Object-Centric Processes from A to Z (OBJECTS 2023).? 3rd Internation978-3-031-50973-5978-3-031-50974-2Series ISSN 1865-1348 Series E-ISSN 1865-1356
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An Experiment on?Transfer Learning for?Suffix Prediction on?Event Logs two sequential deep learning architectures (GPT and LSTM). Base models are trained on two public event logs and used as starting point for transfer learning on eight event logs from different domains. The experiments show that even with half of the available training budget and without using very l
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ProtoNER: Few Shot Incremental Learning for?Named Entity Recognition Using Prototypical Networkse need to retain original training dataset for longer duration as well as data re-annotation which is very time consuming task, (2) No intermediate synthetic data generation which tends to add noise and results in model’s performance degradation, and (3) Hybrid loss function which allows model to re
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https://doi.org/10.1007/978-3-031-50974-2business process management; business process modeling; business process monitoring; business process o
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