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

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書目名稱Business Process Management Forum影響因子(影響力)




書目名稱Business Process Management Forum影響因子(影響力)學(xué)科排名




書目名稱Business Process Management Forum網(wǎng)絡(luò)公開度




書目名稱Business Process Management Forum網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Business Process Management Forum被引頻次




書目名稱Business Process Management Forum被引頻次學(xué)科排名




書目名稱Business Process Management Forum年度引用




書目名稱Business Process Management Forum年度引用學(xué)科排名




書目名稱Business Process Management Forum讀者反饋




書目名稱Business Process Management Forum讀者反饋學(xué)科排名

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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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ARENA

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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