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Titlebook: Business Process Management Forum; BPM Forum 2020, Sevi Dirk Fahland,Chiara Ghidini,Marlon Dumas Conference proceedings 2020 Springer Natur

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期刊全稱Business Process Management Forum
期刊簡稱BPM Forum 2020, Sevi
影響因子2023Dirk Fahland,Chiara Ghidini,Marlon Dumas
視頻videohttp://file.papertrans.cn/193/192344/192344.mp4
學科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Process Management Forum; BPM Forum 2020, Sevi Dirk Fahland,Chiara Ghidini,Marlon Dumas Conference proceedings 2020 Springer Natur
影響因子.This book constitutes the proceedings of the BPM Forum of the 18th International Conference on Business Process Management, BPM 2020, which was planned to take place in Seville, Spain, in September 2020. Due to the COVID-19 pandemic the conference took place virtually..The BPM Forum hosts innovative research which has a high potential of stimulating discussions. The papers selected for the forum are expected to showcase fresh ideas from exciting and emerging topics in BPM, even if they are not yet as mature as the regular papers at the conference...The 19 papers presented in this volume were carefully reviewed and selected from a total of 125 submissions to the main conference. They were organized in topical sections named: process modeling; process mining; predictions and recommendations; BPM adoption and maturity; and standardization, change, and handoffs...?.
Pindex Conference proceedings 2020
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Discovering Activities from Emails Based on Pattern Discovery Approach intervention. In addition, they do not take into consideration activity business data (BD) perspective. In this paper, we introduce a pattern discovery based approach to tackle these limitations; we suggest mainly to discover frequent activities and their BD with unsupervised way. Additionally, our
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Predictive Process Mining Meets Computer VisionGB encoding of process instances useful to train a 2-D Convolutional Neural Network based on Inception block. The empirical study proves the effectiveness of the proposed approach for next-activity prediction on different real-world event logs.
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Prescriptive Business Process Monitoring for Recommending Next Best Actionsoaches recommends actual process activities as actions that are optimised according to a given KPI. We present a PrBPM technique that transforms the next most likely activities into the next best actions regarding a given KPI. Thereby, our technique uses business process simulation to ensure the con
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