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Titlebook: Business Process Management; 14th International C Marcello La Rosa,Peter Loos,Oscar Pastor Conference proceedings 2016 Springer Internation

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發(fā)表于 2025-3-21 18:22:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Business Process Management
期刊簡稱14th International C
影響因子2023Marcello La Rosa,Peter Loos,Oscar Pastor
視頻videohttp://file.papertrans.cn/193/192338/192338.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Business Process Management; 14th International C Marcello La Rosa,Peter Loos,Oscar Pastor Conference proceedings 2016 Springer Internation
影響因子This book constitutes the proceedings of the 14th InternationalConference on Business Process Management, BPM 2016, held in Rio de Janeiro, Brazil, in September 2016..The focus of the conference covers a range of papers focusing on automated discovery,?conformance checking, modeling foundations, understandability of process?representations, runtime management and predictive monitoring. The topics?selected by the authors demonstrate an increasing interest of the research?community in the area of process mining, resonated by an equally fast-growing?uptake by different industry sectors..
Pindex Conference proceedings 2016
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書目名稱Business Process Management影響因子(影響力)




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




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




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




書目名稱Business Process Management被引頻次




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




書目名稱Business Process Management年度引用




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




書目名稱Business Process Management讀者反饋




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




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Handling Duplicated Tasks in Process Discovery by Refining Event Labels a controlled setting. We were able to improve the quality of up to 42?% of the models compared to using a log with imprecise labeling using default parameters and up to 87?% using adaptive parameters. Moreover, using our refinement approach significantly increased the similarity of the discovered m
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From Low-Level Events to Activities - A Pattern-Based Approachis evaluated with domain experts of a Norwegian hospital using an event log from their digital whiteboard system. The evaluation shows that state-of-the art process mining methods provide valuable insights on the usage of the system when using the abstracted event log, but fail when using the origin
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